Scientific Hypothesis Generation

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9 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

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  1. Open-ended Scientific Discovery with Possibilistic Reasoning

    Oct 8, 2026Anita Yang, Siu Lun Chau, Tomoya Wakayama +2Scientific DiscoveryAutonomous Scientific Discovery

    Lattice Lab, Toyota Motor Corporation, Japan · Department of Computer Science, University of Tokyo, Japan · EPIC Lab, College of Computing & Data Science, Nanyang Technological University, Singapore +2

  2. Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models

    Oct 6, 2026Kautik Mandve, Dileepa FernandoScientific DiscoveryScientific Hypothesis Generation

    Vernon Hills High School, Vernon Hills, Illinois, USA · Information Systems Technology and Design Singapore University of Technology and Design, Singapore

  3. From Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists

    Oct 4, 2026Xiaxun Xie, Qingqing Long, Meng Xiao +4AI Agents for Scientific DiscoveryScientific Hypothesis Generation

    Computer Network Information Center, Chinese Academy of Sciences · National University of Singapore · Sichuan University

  4. Reinforcing Agentic Creativity in Scientific Ideation with Night Science

    Sep 28, 2026Priyanka Kargupta, Silviu Cucerzan, Shweti Mahajan +4AI Agents for Scientific DiscoveryScientific Hypothesis Generation

    University of Illinois Urbana-Champaign · Microsoft · Microsoft Research

  5. DISCERN: Can AI Agents Work Like Scientists and Guide Discovery?

    Sep 27, 2026Nan Huang, Mario Tapia-Pacheco, Kun Zhou +4AI Agent ReliabilityScientific Hypothesis Generation

    University of California San Diego · Independent Researcher

  6. Learning to Ideate for Scientific Impact

    Sep 24, 2026Shubham Kale, Aniketh Garikaparthi, Manasi PatwardhanScientific Hypothesis GenerationLarge Language Model-Guided Scientific Discovery

    TCS Research, India.

  7. ScientistTwo: Pioneering the Human Knowledge Frontier with Autonomous AI

    Sep 17, 2026Jaehyun Nam, Jinsung Yoon, Yanzhou Pan +4Scientific Hypothesis GenerationMulti-Agent Systems

    Google Cloud AI Research · University of Waterloo

  8. HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses

    Sep 14, 2026Jieyuan Liu, Mengzhou Hu, Jefferson Chen +10Multi-Agent LLM SystemsScientific Hypothesis Generation

    University of California San Diego · 2Texas A&M University · 3Carnegie Mellon University +1

  9. HypoKG: Evidence-Disciplined Biomedical Hypothesis Generation Beyond Endpoint Knowledge

    Sep 14, 2026Dominic Okonkwo, Adetayo Okunoye, Ismailcem Budak ArpinarLLM Reasoning with GraphsEvidence-Grounded Reasoning

    School of Computing University of Georgia

  10. Measuring the Creativity of Frontier LLMs in Automated Research

    Sep 12, 2026Yiheng Zhao, Mengzhuo Chen, Chengming Hu +3Creativity AssessmentLLM Evaluation

    Concordia University, Montreal, Canada · Independent Researcher · Mcgill University, Montreal, Canada +2

  11. AgentIdeaBench: Benchmarking Scientific Ideation in the Agent Era

    Sep 7, 2026Yunxiang Mo, Tianshi Zheng, Yisen Gao +7AI for ScienceAI Agent Evaluation

    Department of Computer Science and Engineering, HKUST, Hong Kong SAR, China · NVIDIA AI Technology Center (NVAITC), NVIDIA, Santa Clara, USA

  12. HyGRAIL: Cost-Aware and Evidence-Grounded Scientific Hypothesis Discovery over Knowledge Graphs

    Sep 2, 2026Yihang Sun, Zhihan Zhu, Zhiyuan Jiang +3LLM GroundingScientific Hypothesis Generation

    University of Illinois Urbana-Champaign

  13. Can LLMs Discover Scientific Laws in Real and Parallel Worlds?

    Sep 1, 2026Yiming Huang, Ziche Liu, Junxia Cui +11Scientific DiscoveryScientific Hypothesis Generation

    University of California San Diego · University of California, Irvine · Cushing Academy +1

  14. A Human-AI Theorem Connecting Spontaneous and Field-Induced Mechanisms of Collective Behavior in One Dimension

    Aug 31, 2026Weiguo YinAI-Assisted Scientific ResearchScientific Hypothesis Generation

    Condensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, New York 11973, USA

  15. AutoResearch: Insight In, Hallucination Out

    Aug 18, 2026Xiang Liu, Qumeng Sun, Bruno +3Scientific Hypothesis GenerationResearch Idea Generation

    Infinite Evolution Lab, EvoMap

  16. Visualizing Graph-to-Answer Mechanism Recovery in Materials-Science Hypothesis Generation

    Aug 4, 2026Shashwat Sourav, Subhadeep Pal, Markus J. Buehler +4LLM Reasoning with GraphsScientific Hypothesis Generation

    Department of Physics, Washington University in St. Louis · Oak Ridge National Laboratory · Lawrence Berkeley National Laboratory +6

  17. Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities

    Aug 4, 2026William Bolton, Philip TorrAI Agents for Scientific DiscoveryBenchmark Design

    Department of Engineering Science, University of Oxford, Oxford, United Kingdom.

  18. AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions

    Aug 4, 2026Zhiyao Cui, Qianyi Wang, Haoyang Yan +26Multi-Agent LLM SystemsScientific Hypothesis Generation

    Shanghai Artificial Intelligence Laboratory

  19. Abduction Without a Body? Representational Grounding and the Abduction Loop for Scientific Hypothesis Generation

    Aug 3, 2026Michael FarmerAbductive ReasoningScientific Hypothesis Generation

    August 2026 (v1.18)

  20. TCA-SIR: Learning Target-Conditioned Abstractions for Scientific Inspiration Retrieval

    Jul 30, 2026Yuto Suzuki, Farnoush Banaei-KashaniAI for ScienceScientific Hypothesis Generation

    Department of Computer Science and Engineering, University of Colorado Denver Denver, Colorado, USA

  21. Can AI Follow In Einstein's Footsteps?

    Jul 30, 2026Michael Shalyt, Nathan Regev, Marin Soljačić +1AI for ScienceScientific Hypothesis Generation

    Technion - Israel Institute of Technology, Haifa 3200003, Israel. · Massachusetts Institute of Technology, Cambridge MA 02139, USA.

  22. Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery

    Jul 17, 2026Tianyun Zhong, Wangyi Jiang, Wei Wang +15LLM EvaluationScientific Hypothesis Generation

    University of Chinese Academy of Sciences · Institute of Software, Chinese Academy of Sciences · 3Alibaba Group

  23. IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation

    Jul 11, 2026Hengquan GuoAI Agents for Scientific DiscoveryScientific Hypothesis Generation

    ShanghaiTech University

  24. Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents

    Jul 10, 2026Izumi Takahara, Teruyasu MizoguchiAI Agents for Scientific DiscoveryLLM Auditing

    Institute of Industrial Science, The University of Tokyo, Tokyo, Japan 153-8505

  25. Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

    Jul 9, 2026Yifan Zhou, Qihao Yang, Yan Li +14Scientific ReasoningScientific Hypothesis Generation

    Shanghai Jiao Tong University · Carnegie Mellon University · University of Chinese Academy of Sciences +4

  26. FirstResearch: Auditable Question Formation for LLM Scientific Discovery Agents

    Jul 6, 2026Yufeng WangScientific Hypothesis GenerationLarge Language Model-Guided Scientific Discovery

  27. EO-Agents: A Three-Agent LLM Pipeline for Earth Observation Hypothesis Generation

    Jul 2, 2026Mahyar Ghazanfari, Amin Tabrizian, Armin Mehrabian +1Multi-Agent LLM SystemsLLM Grounding

    George Washington University, Washington, DC, USA · NASA Goddard Space Flight Center, Greenbelt, MD, USA · ADNET Systems, Inc., Bethesda, MD, USA

  28. Measuring the Gap Between Human and LLM Research Ideas

    Jul 1, 2026Ziyu Chen, Yilun Zhao, Arman CohanLLM EvaluationScientific Hypothesis Generation

    University of Chicago · Yale University

  29. Autonomous Scientific Discovery via Iterative Meta-Reflection

    Jul 1, 2026Bingchen Zhao, Sara Beery, Oisin Mac AodhaScientific Hypothesis GenerationAutonomous Scientific Discovery

    University of Edinburgh · Massachusetts Institute of Technology

  30. Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination

    Jul 1, 2026Subhadeep Pal, Shashwat Sourav, Tirthankar Ghosal +1LLM Reasoning with GraphsRL for Language Model Reasoning

    Department of Civil and Environmental Engineering MASSACHUSETTS INSTITUTE OF TECHNOLOGY Cambridge, MA, USA · Department of Physics Washington University in St. Louis St. Louis, MO, USA · Computing and Computational Sciences Directorate Oak Ridge National Laboratory Oak Ridge, TN, USA +3