LM4Sci 2.0: The Second Workshop on Language Models for Scientific Discovery
Chenglei Si ⋅ Shannon Zejiang Shen ⋅ Hanane Nour Moussa ⋅ Yanzhe Zhang ⋅ Akari Asai ⋅ Mark Yatskar ⋅ Huan Sun ⋅ Diyi Yang
Abstract
Significant advancements in Large Language Models (LLMs) have spurred interest in using these frontier AI models to assist researchers in various scientific tasks, such as:
Accelerating the research ideation process through AI-assisted brainstorming and concept exploration.
Searching, synthesizing literature reviews and enabling literature-based question-answering.
Using AI for data-driven discovery and complex scientific data analysis.
End-to-end research pipeline including experiment execution, ML engineering, and paper generation.
Schedule
Time zone: Conference local time zone
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