scientific discovery

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses ICLR 2025 On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025 Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science AAAI 2025 SafeScientist: Enhancing AI Scientist Safety for Risk-Aware Scientific Discovery EMNLP 2025 ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery ICLR 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models IJCAI 2025 Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges AAAI 2025 A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024 BLADE: Benchmarking Language Model Agents for Data-Driven Science EMNLP 2024 DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents NeurIPS 2024 End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning AAAI 2024 Expert-level protocol translation for self-driving labs NeurIPS 2024 Integrated Systems for Computational Scientific Discovery AAAI 2024 OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NeurIPS 2024 SciMON: Scientific Inspiration Machines Optimized for Novelty ACL 2024 Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Explaining Data Patterns in Natural Language with Language Models EMNLP 2023 FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery AISTATS 2023 Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Online Symbolic Regression with Informative Query AAAI 2023 Unifying Molecular and Textual Representations via Multi-task Language Modelling ICML 2023 D-CODE: Discovering Closed-form ODEs from Observed Trajectories ICLR 2022 Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021 Using deep networks for scientific discovery in physiological signals MLHC 2020