COLM 2026 Schedule

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TUE 6 OCT

8:45 a.m.

Opening Remarks:

Opening Remarks

(ends 9:00 AM)

9 a.m.

Keynote:

Lessons from Robots for Developing Reliable LLMs

Chelsea Finn

(ends 10:00 AM)

10 a.m.

Oral Session 1 [10:00-11:00]

Orals 10:00-11:00

[10:00] Source-Modality Monitoring in Vision-Language Models

[10:15] CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks

[10:30] Reasoning about Intent for Ambiguous Requests

[10:45] More Than Words: Compositional Tokenization for Efficient Language Models

(ends 11:00 AM)

11 a.m.

Poster Session 1 [11:00-1:00]

Posters 11:00-1:00

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind

Context-based normative simulacra from narrative fiction

Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations

Subliminal Steering: Encoding and Detecting Hidden Signals

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

Activation Steering via Generative Causal Mediation

Steering LLMs for Culturally Localized Generation

MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning

Evaluating and Mitigating Misgendering in English-to-Hindi Machine Translation

MMMG: A Comprehensive and Reliable Benchmark for Multitask Multimodal Generation

SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding

Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities

Valley3: Scaling Omni Foundation Models for E-commerce

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning

FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing

FLINT: Influence-Guided Active Learning Framework for LoRA via Curvature-Aware Data Selection and Fine-Tuning

When Verification Fails: How Compositionally Infeasible Claims Escape Rejection

Towards Active Synthetic Data Generation for Finetuning Language Models

Synthetic Data for any Differentiable Target

Synthesizing Instruction-Tuning Datasets with Contrastive Decoding

From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding

All-Weather VLM: Enhancing Vision Language Models' Robustness Under Adverse Imaging Conditions

Wiener Filtering for VLM Hallucination Suppression

Fine-Tuning Was Not Broken but Diffuse: Precise Knowledge Editing via Projected Error Signals

LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance

ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces

Understanding and Mitigating Premature Confidence for Better LLM Reasoning

Counterfactual Simulation Training for Chain-of-Thought Faithfulness

Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning

Early Data Exposure Improves Robustness to Subsequent Fine-Tuning

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts

HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning

Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking

Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning

A Statistical Framework for Auditing Behavioral Dependence and Induced Bias in LLM Judges

FLY-EVAL++: Evidence-Based Evaluation for Safety-Constrained Modeling in Embodied Systems

Measuring Nines of Reliability: Sample-Efficient LLM Evaluation in Saturated GSM Benchmarks

The Illusion of Stochasticity in LLMs

Why Gaussian Diffusion Models Fail on Discrete Data?

Measuring AI "Slop" in Text

Making Grid Beam Search Less Greedy

Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization

More Than Words: Compositional Tokenization for Efficient Language Models

Inference Scaling of LLM Ensembling: Bridging Token Spaces with Token Translation

Tiny Aya: Bridging Scale and Multilingual Depth

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark

The Embedder's Dilemma: LLMs Are Better, but at What Cost?

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

Scaling Test-Time Compute for Agentic Coding

SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents

Learning Reasoning World Models for Parallel Code

SuperCoder: Assembly Program Superoptimization with Large Language Models

DarwinLM: Evolutionary Structured Pruning of Large Language Models

Sememe: Causal Modeling for Task-Aware Depth Pruning of Large Language Models

SEER: Long-Context Reasoning via Selective Visual-Text Compression

Resa: Efficient Reasoning Models via SAEs

$\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models

LakeQuest: A Three-Domain Benchmark for Grounded Question Answering across Data Lakes

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning

Co-Evolving Structured Knowledge and Reasoning in Language Models

SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning

CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansion

RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length

Does Episodic Memory Help Close the Lexical Frequency Gap in Sensitivity to Syntactic Contrasts? A Test Using Retrieval-Augmented Language Models

Asymmetric Idiosyncrasies in Multimodal Models

LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling

Are LLMs Robust Enough for Operations Research? An Adversarial Attack and Defense Study via AttackOR

ConformalGuard: False-Positive-Controlled Action Gating for LM Classifiers

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence

Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models

FERA: Uncertainty-Aware Federated Reasoning for Large Language Models

KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs

Learning to Learn from Language Feedback with Social Meta-Learning

In-Context Exploration-Exploitation is Biased by Semantic Priors

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

Source-Modality Monitoring in Vision-Language Models

Latent Context Compilation: Distilling Long Context into Compact Portable Memory

A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal Attention

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

Gaze Attention: Query-Adaptive Visual Routing for Efficient Multimodal LLMs

Learning to Refer from Estimated Listener Gaze

Improving GUI Grounding with Explicit Position-to-Coordinate Mapping

v1: Learning to Point Visual Tokens for Multimodal Mathematical Grounded Reasoning

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning

Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs

Reasoning over Non-Parametric Memory in Multilingual LLMs: A Cognitive-Based Analysis of Relational Knowledge

When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs

Uncovering the computational ingredients that support human-like conceptual representations in large language models

Large Language Models Align with the Human Brain during Creative Thinking

CreativityBench: Evaluating Creative Reasoning via Affordance-Based Tool Repurposing

The Tool Illusion: Rethinking Tool Use in Web Agents

CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks

SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks

Characterizing Model-Native Skills

Capability Provenance in Language Models: A Case Study in Social Reasoning

Prototype Language Models

Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift

V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding--Refusal Coupling Failure

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models

Function Over Form: Distributional Orthogonalization in Mixture-of-Experts with Replica Expert Mechanism

MoRE: Mixture of Reused Experts

Do Depth-Grown Models Overcome The Curse Of Depth? An In-Depth Analysis

Parcae: Scaling Laws For Stable Looped Language Models

A Spectral Transport Mechanism Underlying the Training Dynamics of Large Language Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

KronQ: LLM Quantization via Kronecker-Factored Hessian

Covariance-Aware Transformers for Quadratic Programming and Decision Making

Squeeze Evolve: A Unified Multi-Model Orchestration Framework for Verifier-Free Evolution

Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions

DreamProver: Evolving Transferable Lemma Libraries via a Wake-Sleep Theorem-Proving Agent

Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving

Procedure-Aware Reinforcement Learning for Tool-Augmented Large Language Models

CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking

Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification

Reasoning about Intent for Ambiguous Requests

Knowing Before Answering: Decoding Language Models for Reliable RAG

Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines

Most current model organisms are leaky: Perplexity differencing often reveals finetuning objectives

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization

Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction

PreScam: A Benchmark for Predicting Scam Progression from Early Conversations

Mind the Sim2Real Gap in User Simulation for Agentic Tasks

InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation

Identifying Introspection From the Inside

Rule vs. Consequence: Dissociable Internal Representations of Moral Reasoning in LLMs

Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate

Misalignment Contagion: Can a Misaligned Minority Shift Aligned Agents in Multi-Agent LLM Deliberation?

A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models

Deep Research Agents Bring Deeper Harm

Persona Non Grata: Single-Method Safety Evaluation Is Incomplete for Persona-Imbued LLMs

The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues

Train Yourself as an LLM: Exploring Effects of AI Literacy on Persuasion via Role-playing LLM Training

Fragility Under Pressure: Evaluating the Iterative Stability of LLMs in Constrained Interactive Coding

(ends 1:00 PM)

2:30 p.m.

Keynote:

Neutrality Without Neutral Models

Jennifer Pan

(ends 3:30 PM)

3:30 p.m.

Oral Session 2 [3:30-4:30]

Orals 3:30-4:30

[3:30] A Unified View of Attention and Residual Sinks: Outlier-Driven Rescaling is Essential for Large Language Model Training

[3:45] When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction

[4:00] Phonological Perception of Sign Language Models

[4:15] Attribution Bias in Large Language Models

(ends 4:30 PM)

4:30 p.m.

Poster Session 2 [4:30-6:30]

Posters 4:30-6:30

Reasoning with Image Generation

FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation

Effective Strategies for Asynchronous Software Engineering Agents

HAI-Agent: Improving Long Horizon Software Engineering with Handoff Interventions

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents

MechMath: Sorrifier-Driven Formal Decomposition Workflow for Automated Theorem Proving

LeanGeo: Formalizing Competitional Geometry problems in Lean

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning?

CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge

DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math?

InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis

MegaScience: Pushing the Frontiers of Open Post-Training Datasets for Science Reasoning

LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modular Collaboration

Test-Time Scaling Makes Overtraining Compute-Optimal

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

Relative Scaling Laws for LLMs

Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration

Cost-Efficient Estimation of General Abilities Across Benchmarks

RankBALD: Ranking-Aligned Active Evaluation for Language Models

Why Fine-Tuning Encourages Hallucinations and How to Fix It

Hyperloop Transformers

HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning

Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression

QLPO: Quadrant-weighted sampling for Length-aware Policy Optimization

Learn from Zero: Policy Optimization under Vanishing Advantage

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models

Building Multi-Task Agentic LLMs via Two-Phase Distillation

Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Memorization Dynamics in Knowledge Distillation for Language Models

Estimating near-verbatim extraction risk in language models with decoding-constrained beam search

ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding of Health Information, but at What Cost?

Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs

LLMs as Content Curators: A Large-Scale Audit of Recommendation Bias Across Providers and Platforms

Monocultural Biases: Correlated biases in large language models lead to unequal systemic exclusion rates in hiring

Investigating Social Bias Changes in Quantized Large Language Models

MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization

Muon^p: Muon with Fractional Spectral Powers

Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs

PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment

Overton Pluralistic Reinforcement Learning for Large Language Models

Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models

Scaling Self-Play with Self-Guidance

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning

What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features

Capacity-Dependent Effects of Data Selection for Mathematical Reasoning

(How) Learning Rates Regulate Catastrophic Overtraining

GRRR: The Geometry of Reshaping, Rotation, and Routing in Decoder LLM Post Training

Matching Accuracy, Different Geometry: Evolution Strategies vs GRPO in LLM post-training

Restoring Generalization in Fine-tuned Multimodal LLMs via Geometric Alignment

The Generalization Ridge: Information Flow in Natural Language Generation

Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning

Barriers to Universal Reasoning with Transformers (and How to Overcome them)

Algebraic Decomposition Theory for Transformer Length Generalization

Olmo Hybrid: From Theory to Practice and Back

Cylon: Asynchronous Linear Attention

Switching Linear Attention

IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse

Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting

Faster Superword Tokenization

A Unified View of Attention and Residual Sinks: Outlier-Driven Rescaling is Essential for Large Language Model Training

Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining

Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement

PromptBridge: Cross-Model Prompt Transfer for Large Language Models

Phonological Perception of Sign Language Models

Attribution Bias in Large Language Models

Combee: Scaling Parallel Prompt Learning for Self-Improving LLM Agents

Wired for Overconfidence: A Mechanistic Perspective on Inflated Verbalized Confidence in LLMs

Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer

ADAG: Automatically Describing Attribution Graphs

Data Canvas: A Provenance-Guided Harness for Agentic Data Engineering

The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows

Recursive Agent Optimization

Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

SkillFoundry: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

SkillFlow: Scalable and Efficient Agent Skill Retrieval System

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search

Training Proactive and Personalized LLM Agents

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search

Don’t Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation

AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints

SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model

Failure-Aware Penetration Testing via Typed Failure Tokens: From Calibrated Prediction to Structured Recovery

A Diagnostic Failure Taxonomy and Trajectory Critic for Data Agent Improvement

MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs

MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial Observability

JMedEthicBench: A Multi-Turn Adversarial Benchmark for Japanese Medical Ethics Alignment in LLMs

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law

Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans

LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality

In-context superposition: human-like working memory interference in large language models

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models

Do Sparse Autoencoders Capture Concept Manifolds?

Semantic Structure of Feature Space in Large Language Models

LLM2Vec-Gen: Generative Embeddings from Large Language Models

SMETA-ZSL: Semantic Meta-Alignment for Zero-Shot Threat Classification

GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints

Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning

Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis

ContextLeak: Auditing Leakage in Private In-Context Learning Methods

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes

GLiGuard: Schema-Conditioned Classification for LLM Safeguard

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT

Strong but Brittle: Simple Attacks Subvert Reasoning-based Safety Guardrails

Understanding the Effects of Safety Unalignment on Large Language Models

Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models

Diversifying Multiple Generative Agents by Aligning with Human Populations

Can Large Language Models Match Human Diversity in Educational Content Generation?

The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation

Small Foundation Models of Human Cognition and Behaviour

Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation

Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents

Multilingual Embedding Probes Fail to Generalize Across Learner Corpora

Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs

English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training

MaLA: A Corpus and Data Mix for Massive Language Adaptation of Large Language Models

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription

ComDoc: A Comprehensive Benchmark for Document Retrieval-Augmented Generation

Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability

OSCAR : Orchestrated Self-verification and Cross-path Refinement

Superficial Beliefs in LLM Decision-Making

SALA: Syntax-Aware Logit Adjustment for Open-Ended Text Generation

Where Does the Relative Clause Attach? Probing Prosodic and Semantic Sensitivity in Large Audio Language Models

Shared Circuits for Shared Grammar: Tracing Subject-Verb Agreement Across Languages

Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs

Verb-ICL: Rethinking In-Context Learning for Structured Prediction

RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation

Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation

What Makes Retrieval Work for Pedagogical Dialogue Annotation? Indexing Granularity over Retriever Adaptation

KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing

SERUM: State Extraction and Refinement for User Modeling

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models

Explainable AI-Generated Image Detection RewardBench

When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don’t

(ends 6:30 PM)

WED 7 OCT

9 a.m.

Keynote:

Industrial Innovation and its implications

John Langford

(ends 10:00 AM)

10 a.m.

Oral Session 3 [10:00-11:00]

Orals 10:00-11:00

[10:00] Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability

[10:15] What Do Language Models Learn and When? The Implicit Curriculum Hypothesis

[10:30] BugScope: Learn to Detect Bugs Like Human

[10:45] Do Humans and LLMs Diverge in Belief Revision? Evidence from a Bayesian Analysis

(ends 11:00 AM)

11 a.m.

Poster Session 3 [11:00-1:00]

Posters 11:00-1:00

Mitigating Knowledge Conflicts of Retrieval-Augmented Generation through Dual-Stage Confidence Measurement in Semantic Space

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator

Automatic Generation of High-Performance RL Environments

What Makes a Sale? Simulating End-to-End Seller-Buyer Retail Dynamics with LLM Agents

CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V

VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents

iOSWorld: A Realistic iOS Environment for Benchmarking Phone Agents with Personalized User Identity and Memory

InjecMEM: Memory Injection Attack on LLM Agent Memory Systems

InfMem: Learning System-2 Memory Control for Long-Context Agent

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens

ReflCtrl: Controlling LLM Reflection Efficiently via Representation Engineering

RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking

Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization

CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety

SOTOPIA-TOM: Evaluating Privacy and Information Management in Multi-Agent Interaction with Theory of Mind

SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models

StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems

Learning to Interrupt in Language-based Multi-agent Communication

When Contextual Inference Fails: Cancelability in Interactive Instruction Following

Commitment To Cooperation With Self-Negotiated Contracts

Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harmful Behaviors

TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories

Why Do Safety Guardrails Degrade Across Languages?

Minimal, Local, Causal Explanations of Jailbreak Success in Large Language Models

Safety Cost of Steering Vectors Is Separable and Reducible

RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs

Decoupled Alignment for Robust Plug-and-Play Adaptation

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing

Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation

It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO

Is CLIP Cross-Eyed? Revealing and Mitigating Center Bias in the CLIP Family

Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models

What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis

Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning

Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability

On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-Tuning

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers

How Transformers Learn to Plan via Multi-Token Prediction

MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers

Procedural Knowledge at Scale Improves Reasoning

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches

MathDuels: A Self-Play Benchmark That Grows

BigCodeArena: A Platform for Executable Code Generation Evaluation

Meta-Harness: End-to-End Optimization of Model Harnesses

Reward Hacking in Language Model Agents: Revisiting AI Safety Gridworlds

Start Classifying: Categorical Critics for LLM Reinforcement Learning

A Rubric-Supervised Critic from Sparse Real-World Outcomes

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks

Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation

Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing

Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO

Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization

OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks

Bagpiper: Solving Open-Ended Audio Tasks via Rich Captions

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action

FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding

Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Model

Multi-Granular Node Pruning for Causal Circuit Discovery

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs

Lang-Prune: Unlocking Fair and Powerful Pruning for Multilingual Large Language Models

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models

QVAC Genesis III: A Large-Scale, High-Quality Open Synthetic STEM Corpus for Efficient Language Model Pre-Training

MidTool: Mid-training Data Synthesis for Agentic Tool Use

Tool-Creating LLM Agents Gain Little from Keeping Their Tools

Do Humans and LLMs Diverge in Belief Revision? Evidence from a Bayesian Analysis

Decocted Experience Improves Test-Time Inference in LLM Agents

Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation

The State and Fate of Multilingual, Contextual Evaluation in the NLP World

AnchorBench: A Multi-Pathway Benchmark for the Anchoring Effect in LLMs

TEMPER: Testing Emotional Perturbation in Quantitative Reasoning

Benchmarking of Automated Assessment of K-5 Student Narratives Using Large Language Models

Qworld: Question-Specific Evaluation Criteria for LLMs

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding

Who Checks the Citations? Benchmarking Legal Hallucination Detection

BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation

Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?

Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent

TokEval: A Tokenizer Analysis Suite

Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion

Convergent Evolution: How Different Language Models Learn Similar Number Representations

Bottom-Up Interpretability of Pretraining Dynamics via Loss Curve Decomposition

What Do Language Models Learn and When? The Implicit Curriculum Hypothesis

Understanding Primacy Effects in Large Language Models with Sparse Autoencoders

Differences in Text Generated by Diffusion and Autoregressive Language Models

Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models

Cross-Model Disagreement as a Label-Free Correctness Signal

Entropy Centroids as Intrinsic Rewards for Test-Time Scaling

PolicyBank: Evolving Policy Understanding for LLM Agents

Process Supervision of Confidence Margin for Calibrated LLM Reasoning

Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models

MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models

Legibility is Not Interpretability: Evaluating Judged Importance versus Actual Importance in Chain-Of-Thought Reasoning Steps

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning

Evolving Programmatic Skill Networks

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

REVERE: Reflective Evolving Research Engineer

Learning Steerable Clarification Policies with Collaborative Self-play

$p1$: Better Prompt Optimization with Fewer Prompts

Compared to What? Baselines and Metrics for Counterfactual Prompting

It’s How You Ask: Gender-Associated Linguistic Bias in LLMs

Reach Into The Choir: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles

Liberating LLM Capabilities in Full-Duplex Speech Models

Learning to Draw ASCII Improves Spatial Reasoning in Language Models

Polar probe linearly decodes semantic structures from LLMs

Large language models reorganize representational geometry during in-context learning

In-Context Learning as Implicit Policy Gradient

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning

StoryScope: Investigating idiosyncrasies in AI fiction

Risk Profiling and Modulation for LLMs

The Story Shapes the Agent: Narrative Priors in LLM Behavior

Measuring Pragmatic Influence in LLM Instructions

HieraSuite: A Holistic Toolkit for Building Versatile System-User Instruction Hierarchy

LogicIF: Towards Complex Logic Instruction Following

Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis

BugScope: Learn to Detect Bugs Like Human

Coding Agents Don’t Know When to Act

Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Can LLMs Introspect? A Reality Check

WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild

SciTaRC: A Plan-Annotated Scientific Tabular QA Benchmark for Language Reasoning and Complex Computation

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-art Discovery

From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale

Document-as-Image Representations Fall Short for Scientific Retrieval

Multimodal Latent Reasoning via Predictive Embeddings

VERIFY A Benchmark of Visual Reasoning for Multimodal Reasoning Fidelity

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking

NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures

VisCodeBench: a new benchmark dataset for Text-to-Vis reflecting real-world practice

Do LLMs Benefit From Their Own Words?

CT-$\Delta$Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models

CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction

SatIR: Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching

TierCache: A Multi-Granularity Semantic Caching Framework for Structured Query Generation

How Conversational Pressure Alters Belief in Large Language Models: A Hidden State Boundary Perspective

Conversation as Measurement in Clinical Encounters: Observable Phase Structure, Partially Observable Patient State

(ends 1:00 PM)

1 p.m.

2:30 p.m.

Panel:

Panel: James Evans, Jeremy Avigad, Rose Yu, Alison Gopnik

(ends 3:30 PM)

3:30 p.m.

Oral Session 4 [3:30-4:30]

Orals 3:30-4:30

[3:30] How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data

[3:45] Beyond Distribution Sharpening: The Importance of Task Rewards

[4:00] Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics

[4:15] Distributed Attacks in Persistent-State AI Control

(ends 4:30 PM)

4:30 p.m.

Poster Session 4 [4:30-6:30]

Posters 4:30-6:30

When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition

MURMUR: Cross-Lingual and Multimodal Retrieval-Augmented Reasoning for Open Question Answering in Tamil and Yoruba

Why Vision Fails as a Universal Bridge: Rectifying Modality Asynchrony in Multilingual MLLMs

Arbitration Failure, Not Perceptual Blindness: How Vision-Language Models Resolve Visual-Linguistic Conflicts

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models

Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors

Semantic Richness or Geometric Reasoning? The Fragility of VLM's Visual Invariance

Multimodal Language Models Cannot Spot Spatial Inconsistencies

From Plausible to Grounded: Reinforcing Structured Consistency in Video MLLMs

TGIF: Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs

Creativity and Hallucinations Share Mechanisms in LLMs

Disentangling MLP Neuron Weights in Vocabulary Space

Arithmetic in the Wild: Llama uses Standard Addition to Reason About Cyclic Concepts

Causal Drawbridges: Characterizing Gradient Blocking of Syntactic Islands in Transformer LMs

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models

LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering

ACTOR-CURATOR: Online Curriculum Learning via Policy Improvement Bandits for RL Post-Training

Evaluating steering techniques using human similarity judgments

Steering Awareness: Detecting Activation Steering from Within

Steering Instruction Hierarchies at Inference Time

Instruct-FD: Can Your Full-Duplex Speech System Follow Turn-Taking Instructions?

SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following

COMPASS: Benchmarking Constrained Optimization in LLM Agents

Analysis of Optimality of Large Language Models on Planning Problems

The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning

KTPO: K-Step Test-Time Policy Optimization for Long- Horizon Discovery

Self-Evolving Curriculum for LLM Reasoning

New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR

Beyond Distribution Sharpening: The Importance of Task Rewards

From Rebound to Remedy: Understanding and Mitigating Reward Hacking via Representation Engineering

Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs

CONCORD: Label-Free Calibration of Verbalized LLM Confidence via Rollout Consistency

PAM: Training Moderation Filters from Policy-Derived Supervision

Quality of Rejections Matters: Preference Data Construction for Faithful Summarization

Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling

From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs

SWE-chat: Coding Agent Interactions From Real Users in the Wild

The Devil Is in the Interface: Evaluating How Tool Architecture Shapes Coding Agent Behavior

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval

CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target

When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies

Only Ask What You Don’t Know: Grounded Delta Planning for Efficient Multi-step RAG

RAQE: Reranker-Aligned Query Expansion via Label-Free Group-Relative Policy Optimization

AgentIR: Reasoning-Aware Retrieval for Deep Research Agents

ResearcherBench: Evaluating Deep AI Research Systems on Open-ended AI Research Tasks

Sci-VBench: Evaluating Knowledge- and Reasoning- Intensive Video Generation in Science Domains

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models

The Shrinking Lifespan of LLMs in Science

The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining

Data-efficient pre-training by scaling synthetic megadocs

Generating Pretraining Tokens from Organic Data for Data-Bound Scaling

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale

LM-mixup: Text Data Augmentation via Language Model based Mixup

Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection

Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans

In-Context Examples Suppress Scientific Knowledge Recall in LLMs

Improving Latent Generalization Using Test-time Compute

Language Models That Think, Chat Better

Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking

Rethinking Reasoning with MDLMs: Early Exits, Post-hoc Reasoning, and Beyond

Are Latent Reasoning Models Easily Interpretable?

Grounding latent algorithm routing in transformer reasoning

LLM Router: Rethinking Routing with Prefill Activations

No Single Best Model for Diversity: Learning a Router for Sample Diversity

Routing Entropy: A Hidden Self-Verifier for Free in Mixture-of-Experts LLMs

Reinforcement Routing for Mixtures of LoRAs in Parameter-Efficient LLM Finetuning

ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale

Let’s Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts

Data-Efficient Adaptation of LLMs via Attention Head Reweighting

Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning

Learning Next Action Predictors from Human-Computer Interaction

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks

YC-Bench: Benchmarking AI Agents for Long-Term Planning and Consistent Execution.

DeliveryBench: Can Agents Earn Profit in Simulated Worlds?

UrbanLLMind: Scalable LLM-Powered Urban Mobility Simulation with Open-Weight Models

Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces

Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows

Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry

A Prior-Aware Metric for Efficiently Distinguishing Memorization from Generalization in Large Language Models

The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation

Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing

A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

MTA-Agent: An Open Recipe for Multimodal Deep Search Agents

Bridging Databases and Documents: Data-Algorithm Co-Design for Hybrid Question Answering

DataSTORM: Deep Research on Large-Scale Databases using Exploratory Data Analysis and Data Storytelling

CoreSemDB: Benchmarking Hybrid Semantic-Relational Query Processing over Text-Rich Databases

VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization

The Art of Building Verifiers for Computer Use Agents

ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents

CAP: A Scalable Benchmark for Evaluating Cross-Site Browser Agents with Complex Actions and Perception

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks

Back to the Future: A workbook time machine for spread- sheet creation benchmarks

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation

Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection

How Humans and LLMs Read Gender into “Gender-Neutral” Physical Descriptions

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models Through the lens of Social Relationship

Whose Standpoint do LLMs Reflect? Surfacing and Mitigating Epistemic Blindspots

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics

Lower-Resource, Higher Scores: Language Bias in LLM Evaluators

Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

SCOPE: A Generative Approach for LLM Prompt Compression

Optical Context Compression Is Just (Bad) Autoencoding

SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Workloads

Free(): Learning to Forget in Malloc-Only Reasoning Models

Fork-think with Confidence

Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet

Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs

An Investigation of Translationese in the Generations of Multilingual Large Language Models

From Mechanism Discovery to Proposal Closure: Graph-Grounded Hierarchical Search for Scientific Ideation

CrystalSTAR: Structured Action Orchestration with Trio-Reflection for Constrained Novel Crystal Discovery

MetaSymbO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution

AMAT: Automated Multi-Agent Topology Design via Reinforcement Learning

Learning to Comply: Workflow-Grounded Environment Generation for Training Procedurally Compliant Agents

RewardHarness: Learning Human Preferences for Image Editing with Only 100 Demonstrations

PrefPO: Pairwise Preference Prompt Optimization

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses

Process-Oriented Evaluation of AI-Assisted Scientific Writing

LLMs Corrupt Your Documents When You Delegate

Multilingual Agent-Based World Modeling for Social Science

Distributed Attacks in Persistent-State AI Control

Preference Redirection via Attention Concentration: An Attack on Computer Use Agents

Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting

FoR-SALE: Frame of Reference-guided Spatial Adjustment in LLM-based Diffusion Editing

RELISH: LLM REgression with a Latent Iterative State Head

A Comedy of Estimators: On KL Regularization in RL Training of LLMs

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

SonicSampler: Unified Tile-Aware Kernels for LLM Sampling and Speculative Verification

NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning

Mask-Aware Policy Gradients for Diffusion Language Models

Social World Models

Multi-Mask Diffusion Language Models for Few-Step Generation

LORA-CRAFT: Cross-layer Rank Adaptation via Frozen Tucker Decomposition of Pre-trained Attention Weights

Dual-Stream Decoding for Accelerated Large Language Models

Trie Automata for Constrained Decoding over Large Finite Sets

Neuro-Symbolic Synergy for World Modeling

Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verification

(ends 6:30 PM)

THU 8 OCT

9 a.m.

Keynote:

Large Language Models are Culture Machines

Henry Farrell

(ends 10:00 AM)

10 a.m.

Oral Session 5 [10:00-11:00]

Orals 10:00-11:00

[10:00] Extracting memorized pieces of (copyrighted) books from open-weight language models

[10:15] Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models

[10:30] Message Passing Enables Efficient Reasoning

[10:45] A Mirage of Coherence: How Metaphor Impacts Language Models' Discourse Coherence Assessment

(ends 11:00 AM)

11 a.m.

Poster Session 5 [11:00-1:00]

Posters 11:00-1:00

Towards Comprehensive Mobile Application Testing for User-centric Feature Coverage via Simulating Real-World Users with Personas

CocoaBench: Evaluating unified digital agents in the wild

AlphaEval: Evaluating Agents in Production

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis

PM-Bench: Evaluating Prospective Memory of LLM Agents

AgentWorld: Benchmarking Long-Horizon Collaboration of Multi-agent LLMs

MT-PINGEVAL: Evaluating Multi-Turn Collaboration with Private Information Games

AI Assistance Reduces Persistence and Hurts Independent Performance

Verbalizing LLMs' assumptions to explain and control sycophancy

Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks

Synthetic Sandbox for Training ML Engineering Agents

TritonRL: Training LLMs to Think and Code Triton Without Cheating

Quasar: A Programming Language Specialized for LLM Code Actions

MetaLint: Easy-to-Hard Generalization for Code Linting

MAPLE: Metadata Augmented Private Language Evolution

PolicyLong: Towards On-Policy Context Extension

Studying the Soupability of Documents in State Space Models

Reflective Context Learning: Studying the Optimization Primitives of Context Space

Awakening the Sleeping Agent: Lean-Specific Agentic Data Reactivates General Tool Use in Goedel Prover

Recovering Wasted Compute in Autoresearch Agents

Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection

Prescriptive Scaling Laws for Data Constrained Training

The Finetuner’s Fallacy: When to Pretrain with Your Finetuning Data

Domain-Aware Scaling Laws Uncover Data Synergy

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning

Do Language Models Consistently Encode the Current Year?

Message Passing Enables Efficient Reasoning

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

Disentangling the Expressivity of RoPE

Compliments to the Complementizer: Indirect Routing of Syntactic Structure in a Transformer Language Model

Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval

CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA

Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Differentially Private

Evaluating the Retrieval Robustness of Large Language Models

Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation

QualAlign: Benchmarking Automated Qualitative Coding Against Human Schemas

How social context shapes value-related content in Large Language Model outputs

Ideological Bias in LLMs’ Economic Causal Reasoning

Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models

SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation

Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards

CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation

What do your logits know?

Attr-Kit: An Efficient Toolkit for No-Decode Source Attribution

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?

When Pruning Meets Interpretability: Preserving Sparse Autoencoder Robustness in LLMs

Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction

Extracting memorized pieces of (copyrighted) books from open-weight language models

Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space

Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors

Detecting Safety Violations Across Many Agent Traces

Training Agents to Self-Report Misbehavior

Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents

BrowseSafe: Understanding and Detecting Prompt Injection Within AI Browser Agents

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization

Extended to Reality: Prompt Injection in 3D Environments

Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial Attacks

When Large Language Models Know the Table: A Framework for Assessing Data Contamination in Tabular Datasets

TRUST: A Crowdsourcing Framework for Auditing Large Language Model Reasoning

Auditing Moderation Robustness Under Realistic Settings

Back to Basics: Revisiting ASR in the Age of Voice Agents

SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations

Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules

When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift

Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models

Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?

Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situations

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

Decoupling Planning and Control for Instructable Agents

Aligning Language Models from User Interactions

Peer-Predictive Self-Training for Language Model Reasoning

Variational Co-Evolution via Reinforcement Learning

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution

On Epistemic Diversity in Large Language Models

CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs

Reasoning Fine-Tuning Induces Persistent Latent Policy States

Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing

A Mirage of Coherence: How Metaphor Impacts Language Models' Discourse Coherence Assessment

Should We be Pedantic About Reasoning Errors in Machine Translation?

MELD: Multilingual Ensemble via Logical Debate

TowerVision: Understanding and Improving Multilinguality in Vision-Language Models

LF²AR: Accounting for Layerwise Dynamics to Improve Multimodal Adaptation of Language Models

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration

Emergent Unfaithfulness: How Alignment Training Causes Language Models to Silently Override Task Faithfulness

Overconfident and Blind to Details: Fixing Prompt Insensitivity with Abductive Preference Learning

Uniform Information Density-Based Preference Optimization

A11yn: Aligning LLMs for Web Accessibility-Aware UI Generation

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?

GLAZE: A Gaze-Language Benchmark for Grounding Human Gaze on Web User Interfaces

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?

BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation

Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees

Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models

Efficient Safety Alignment of Language Models via Latent Personality Traits

Comparing Developer and LLM Biases in Code Evaluation

Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows

Agent Psychometrics: Task-Level Performance Prediction in Agentic Coding Benchmarks

SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring

Constraint decay: The Fragility of LLM Agents in Backend Code Generation

When Correct Patches Become Vulnerable: Red Teaming LLM-Based Program Repair Agents

CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?

AutoOR: Scalably Post-training LLMs to Autoformulate Operations Research Problems

Routesplain: Towards Faithful and Intervenable Routing for Software-related Tasks

Activation Steering for Aligned Open-ended Generation without Sacrificing Coherence

SkillRouter: Skill Routing for LLM Agents at Scale

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

EvoSkill: Automated Skill Discovery for Multi-Agent Systems

FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills

Dr. Zero: Self-Evolving Search Agents without Training Data

AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop Feedback

Neural Architecture Discovery via Autonomous Evolution

CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

EvoX: Meta-Evolution for Automated Discovery

EvoLen: Evolution-Guided Tokenization for DNA Language Model

From Geometry to Behavior: How Instruction Exposure Unlocks Latent Rhetorical Directions in LLMs

Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings

Structure Before Collapse: Transient Semantic Geometry in Next-Token Prediction

Why Your Prompt Compressor Is Deleting the Wrong Tokens: An Information-Theoretic Diagnosis

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference

Super Weights in LLMs and the Failure of Selective Training

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

Direct Multi-Token Decoding

Accelerating Speculative Decoding with Block Diffusion Draft Trees

Latent Structure of Affective Representations in Large Language Models

FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents

BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases

DeepScholar-Bench: A Live Benchmark for Automated Evaluation of Generative Research Synthesis

WebReal: Benchmarking DeepSearch Agents on Real-world User Information Needs

Attractor States Emerge in Multi-Turn LLM Conversations

STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts

(ends 1:00 PM)

2:30 p.m.

Keynote:

Is NLP System-Building a Machine Learning Problem?

Jason Eisner

(ends 3:30 PM)

3:30 p.m.

Oral Session 6 [3:30-4:30]

Orals 3:30-4:30

[3:30] Diversity or Precision? A Deep Dive into Next Token Prediction

[3:45] MEMENTO: Teaching LLMs to Manage Their Context

[4:00] What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks

[4:15] Introspective Diffusion Language Models

(ends 4:30 PM)

4:30 p.m.

Closing Remarks:

Closing Remarks

(ends 4:40 PM)

4:40 p.m.

Poster Session 6 [4:40-6:30]

Posters 4:40-6:30

Model Merging via Data-Free Covariance Estimation

Multi-objective Evolutionary Merging Enables Efficient Reasoning Models

ACEvo: Adversarial Co-Evolution of Problem Distributions and Solvers for Combinatorial Optimization

Learning Reusable Program Transformations via LLM-Guided Rule Synthesis

Models Can Model, But Can’t Bind: Structured Grounding in Text-to-Optimization

The Format Tax: Separating the Cost of Requesting Structure from the Cost of Enforcing It

Syntax Without Semantics: Teaching LLMs to Code in an Unseen Language

Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models

MoANT: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

PreMoE: Proactive Inference for Efficient Mixture-of-Experts

Path-Constrained Mixture-of-Experts

Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation

TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models

CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback

Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks

Mitigating LLM biases toward spurious social contexts using direct preference optimization

WorldPM: Scaling Human Preference Modeling via Real-World Feedback

Beyond expert users: agents should help users construct preferences, not just elicit them

LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers

Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting

INSIDE the Student’s Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

HPFA: Hypergraph-Based Paired Failure Attribution for LLM Reasoning

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning

Stabilizing Off-Policy Training for Long-Horizon LLM Agents via Turn-Level Importance Sampling and Clipping-Triggered Normalization

Towards Full Pipeline FP8 Reinforcement Learning for LLMs

Safe Inference-Time Alignment via Lagrangian Reward Augmentation

RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training

Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning

ExpRL: Exploratory RL for LLM Mid-Training

Diversity or Precision? A Deep Dive into Next Token Prediction

Se-DPO: Self-Evolving Token Credit for Direct Preference Optimization

Token-Level Control or Just a Better Mean? Isolating the Gains of Adaptive Decoding

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport

Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics

Understanding Machine Unlearning Through the Lens of Mode Connectivity

On the Impossibility of Retrain Equivalence in Machine Unlearning

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning

MoRFI: Monotonic Sparse Autoencoder Feature Identification

UNMASK Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers

Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts

TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs

The Percept-V Challenge: Can Multimodal LLMs Crack Simple Perception Problems?

Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding

CoVLA: Vision-Language Alignment with Fewer Vision Tokens

EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning

EvoSkillBank: Hierarchical Skill Self-Evolution and Skill-Bank Governance for Continual Agent Learning

Toward Scalable Terminal Task Synthesis via Skill Graphs

Budget-Aware Tool Use Enables Effective Agent Scaling

Thought-Level Beam Search for Reasoning

TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-Stopping

HarmThoughts: A Benchmark for Fine-Grained Harmful Behavior Detection in Reasoning Traces

TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

Improved Robustness against Indirect Prompt Injection Can Be Built into LLMs

Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense

MEMENTO: Teaching LLMs to Manage Their Context

What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks

Introspective Diffusion Language Models

Lost in Distraction: LLM Planning Agents Recognize but Fail to Utilize Relevant Information under Context Noise

Goose: Anisotropic Speculation Trees for Training-Free Speculative Decoding

Statistically-Lossless Quantization of Large Language Models

NIRVANA: Structured Pruning Reimagined for Large Language Model Compression

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation

Principled and Scalable Diversity-Aware Retrieval via Cardinality-Constrained Binary Quadratic Programming

Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models

Opusanimation: Code-based dynamic chart generation

Co-Director: Agentic Generative Video Storytelling

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs

Detecting and Suppressing Reward Hacking with Gradient Fingerprints

$\textit{Hidden in the Haystack:}$ Smaller Needles are More Difficult for LLMs to Find

Voice of Reason: Reinforcement Learning for Spoken Math

Do We Need Frontier Models to Verify Mathematical Proofs?

Ill-Defined Math: Benchmarking LLM Reasoning Beyond Well-Defined Problems

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

GRADE: Probing Knowledge Gaps in LLMs through Gradient Subspace Dynamics

Grammatical ``grandmother neurons'' are rare in LLMs

Vocabulary embeddings organize linguistic structure early in language model training

Lost in Backpropagation: The LM Head is a Gradient Bottleneck

BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs

REFRAMED: Towards Realistic Audio Description Generation for Movies

Cracks in the Foundation: Seemingly Minor Architectural Choices Impact Long Context Extension

TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics

MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook

CooperBench: Why coding agents cannot be your teammates yet

When Does Personality Composition Matter for Multi-Agent LLM Teams?

High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination

Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

“I Didn’t Make the Micro Decisions”: Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration

CCBench: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores

Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths

RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices

MolDesignBench: Evaluating LLM-based Agent for Scenario- grounded Molecular Design

RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning

Can Coding Agents Reproduce Findings in Computational Materials Science?

Stargazer: A Scalable Model-fitting Benchmark Environment for AI Agents under Astrophysical Constraints

Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks

Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking

Agent Alpha: Unifying Generation, Exploration and Evaluation via Tree Search for Computer-Use Solution Discovery

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution

Cycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge

TierMem: Balancing Compressed Memory and Raw Evidence for Long-Horizon Agent Memory

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression

Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought

Fractured Chain-of-Thought Reasoning

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning

DepthSSD: Rethinking Residual Connections via State Space Models on the Depth Axis

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic Restraint

Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models

OpenStamp: A Watermark for Open-Source Language Models

Semantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs

Human vs Machine Translation Detection: A Cross-Model, Cross-Domain, and Low-Resource Analysis

We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference

PromptNCE: Conditional Probabilities and PMI Using Only LLMs and Contrastive Estimation Prompts

Understanding In-context Learning of Addition via Activation Subspaces

MomentKV: Closing the Directional Gap in KV Cache Eviction for Long-Context Inference

Reasoning Models Know What’s Important, and Encode It in Their Activations

Component and Dimension Sparsity in Transformer Refusal Mechanisms

Prism-$\Delta$: Differential Subspace Steering for Prompt Highlighting in Large Language Models

Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization

ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference

SPEED: Specialized Position Experts for Efficient Speculative Decoding

(ends 6:30 PM)

FRI 9 OCT

8:30 a.m.

Workshop:

AdvML-Frontiers × CoTMA: From Model Security to Compositional Threats in Multi-Agent AI Systems

(ends 6:00 PM)

Workshop:

COLM 2026 Workshop on Efficient Reasoning

(ends 6:00 PM)

Workshop:

COLM Workshop on Context Beyond the Window: Persistent Knowledge in Language Models

(ends 6:00 PM)

Workshop:

Workshop on Agent Behavior

(ends 6:00 PM)

Workshop:

2nd Workshop on Human-Centered Privacy and Security for Language Models

(ends 6:00 PM)

Workshop:

Workshop on Responsibly Enabling Data for Foundation Models

(ends 6:00 PM)

Workshop:

Generative AI for the World: The First Workshop on Globalizing Tasks, Evaluations, and Systems

(ends 6:00 PM)

Workshop:

Methods and Opportunities at Small Scale (MOSS)

(ends 6:00 PM)

Workshop:

Workshop on Scientific Understanding of Foundation Models

(ends 6:00 PM)

Workshop:

Actionable Interpretability

(ends 6:00 PM)

Workshop:

Second Tokenization Workshop

(ends 6:00 PM)

Workshop:

LM4Sci 2.0: The Second Workshop on Language Models for Scientific Discovery

(ends 6:00 PM)

Workshop:

Non-Autoregressive Language Models for Fast and Flexible Text Generation

(ends 6:00 PM)

Workshop:

LLM/VLM Deployment Opportunities and Risks in Healthcare

(ends 6:00 PM)

Workshop:

Learning from Situated and Embodied Interaction

(ends 6:00 PM)

Workshop:

Social Sim'26: Fidelity in Applications

(ends 6:00 PM)

Workshop:

AI Measurement Science: Toward Rigorous AI Evaluation

(ends 6:00 PM)

Workshop:

The 2nd Workshop on Lifelong Agent: Learning, Aligning, Evolving

(ends 6:00 PM)