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LM4Sci Workshop

The workshop on Large Language Modeling for Scientific Discovery - exploring the intersection of artificial intelligence and scientific discovery.

LM4Sci 2025
LLM for Scientific Discovery
Date: October 10, 2025
Location: Montreal, Canada (co-located with COLM '25)

About the Workshop

LLM for Scientific Discovery

Welcome the Workshop on LLM for Scientific Discovery: Reasoning, Assistance, and Collaboration, (LM4Sci), a forum for researchers, practitioners, and stakeholders working at the intersection of artificial intelligence and scientific discovery.

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:

Idea Generation & Brainstorming

Accelerating the research ideation process through AI-assisted brainstorming and concept exploration.

Literature Review & Synthesis

Searching, synthesizing literature reviews and enabling literature-based question-answering.

Data Analysis & Discovery

Using AI for data-driven discovery and complex scientific data analysis.

Research Pipeline Automation

End-to-end research pipeline including experiment execution, ML engineering, and paper generation.

Organizing Committee

Workshop Organizers

Shannon Zejiang Shen

Shannon Zejiang Shen

MIT

Chenglei Si

Chenglei Si

Stanford University

Akari Asai

Akari Asai

University of Washington

Jenny Zhang

Jenny Zhang

University of British Columbia

Rulin Shao

Rulin Shao

University of Washington

Xuefei (Julie) Wang

Xuefei (Julie) Wang

Caltech

Atharva Sehgal

Atharva Sehgal

UT Austin

Linxi Zhao

Linxi Zhao

Cornell University

Yisong Yue

Yisong Yue

Caltech

Mark Yatskar

Mark Yatskar

University of Pennsyvania

Jake Gardner

Jake Gardner

University of Pennsyvania

Emma Strubell

Emma Strubell

CMU

Pang Wei Koh

Pang Wei Koh

University of Washington

Diyi Yang

Diyi Yang

Stanford University

Tatsunori Hashimoto

Tatsunori Hashimoto

Stanford University

Arman Cohan

Arman Cohan

Yale University & Ai2

Yoon Kim

Yoon Kim

MIT

Our Focus

Bringing Communities Together

The focus of our workshop is on developing LLMs and AI systems that can accelerate scientific research in various scientific domains and assist human researchers. We aim to bring together researchers from different communities, including ML, NLP, Human-Computer Interaction, and various scientific disciplines such as biology and chemistry, to work together on the design, development, and evaluation of various forms of scientific LLMs and systems.

Many of these AI systems are shown to be helpful tools for human researchers to accelerate the scientific discovery process. For example, systems like Scideator provide assistance such as key facet extraction from papers and automated novelty assessment with explanations to facilitate ideation. Beyond these simple collaboration modes, there is still a huge under-explored space for building helpful AI tools for accelerating scientific research and fostering more effective human-AI collaboration in science.

Ready to contribute?

Submit your research to be part of this exciting workshop exploring the future of science and human-AI interaction.

Submit Your Paper

Schedule Highlights

TimeActivity
09:00 - 10:50Keynote Speeches (3 speakers)
11:05 - 12:00Oral Presentations
13:00 - 14:45Keynote Speeches (3 speakers) & Panel Discussion
15:30 - 17:00Poster Session / Shared Task

Note: This schedule is tentative and subject to change. See the full schedule for details.

Important Dates

Submission Deadline

June 23, 2025

Notification

July 24, 2025

Camera-Ready

Aug 7, 2025

Workshop

Oct 10, 2025