ICLR 2025PastAgentsAI for scienceGenerative models
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation
ICLR 2025 Workshop AgenticAI
- Submission deadline
- Feb 24, 2025, 16:10 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (31)
Fetched from OpenReview (v2) on 2026-06-10.
A Simplified a priori Theory of Meaning; Nature Based AI 'First Principles'
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
AgenticHypothesis: A Survey on Hypothesis Generation Using LLM Systems
APPA : Agentic Preformulation Pathway Assistant
AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data
Automatic Scientific Claims Verification with Pruned Evidence Graph
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models
Dynamic Knowledge Integration in Multi-Agent Systems for Content Inference
Efficient Generation of Diverse Scientific Hypotheses through Stepwise Conceptual Concretization
Emerging Multi-AI Agent Framework for Autonomous Agentic AI Solution Optimization
ENHANCING DIVERSITY AND NOVELTY IN TEXT GENERATION VIA MULTI-VIEW EMBEDDINGS
Evaluation of a Robust Control System in Real-World Cable-Driven Parallel Robots
Evolving RL: Discovering New Activation Functions using LLMs
Federated Learning for Decentralized Scientific Collaboration: Privacy-Preserving Multi-Agent AI for Cross-Domain Research
Game-Theoretic Multi-Agent Collaboration for AI-Driven Scientific Discovery
HEP-JEPA: A foundation model for collider physics
Large Language Models Are Innate Crystal Structure Generators
Large Language Models powered Neural Solvers for Generalized Vehicle Routing Problems
LLM AGENTS FOR LITERATURE TO CODE CONVERSION:CASE STUDY OF HEAT EXCHANGER DESIGN
LLM-Augmented Chemical Synthesis and Design Decision Programs
MDCROW: AUTOMATING MOLECULAR DYNAMICS WORKFLOWS WITH LARGE LANGUAGE MODELS
META-LEARNING FOR SCIENTIFIC HYPOTHESIS GENERATION AND EXPERIMENTAL DESIGN
ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
Orchestrating Tool Ecosystem of Drug Discovery with Intention-Aware LLM Agents
Performant LLM Agentic Framework for Conversational AI
ProteinHypothesis: A Physics-Aware Chain of Multi-Agent RAG LLM for Hypothesis Generation in Protein Science
Sara: Screening Agents for Rheumatoid Arthritis