COLM 2025PastMath & reasoningLarge language modelsAI for science
LLM for Scientific Discovery: Reasoning, Assistance, and Collaboration
LM4Sci
- Submission deadline
- Jul 7, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (17)
Fetched from OpenReview (v2) on 2026-06-11.
Agentic Superoptimization of Bioimaging Analysis Workflows
An LLM-driven framework for cosmological model-building and exploration
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Causal AI Assistant: Facilitating Causal Data Science with Large Language Models
Cross-Modal Adaptation of Decoder-only Models to Partial Differential Equation Data
Data Heterogeneity Limits the Scaling Effect of Pretraining in Neural Data Transformers
DiffAntiSeq: A Controllable Diffusion Model for Efficient Antibody Library Design
Evaluating and Improving LitLLMs with Deep Research
Fine-tuning Vision-Language Models for Animal Behavior Analysis
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
InertialTransformer: Early Explorations and Insights into Transformer-based Geometric Representation
Information Extraction from Diverse Charts In Materials Science
Protein2Text: Providing Rich Descriptions from Protein Sequences
Solving Inequality Proofs with Large Language Models
The Ramon Llull's Thinking Machine for Automated Ideation
Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes