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