MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Zonglin, Liu, Wanhao, Gao, Ben, Liu, Yujie, Li, Wei, Xie, Tong, Bing, Lidong, Ouyang, Wanli, Cambria, Erik, Zhou, Dongzhan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
by: Liu, Wanhao, et al.
Published: (2025)

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
by: Yang, Zonglin, et al.
Published: (2024)

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
by: Yang, Zonglin, et al.
Published: (2026)

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
by: Liu, Yujie, et al.
Published: (2025)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)

Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025)

ChemMLLM: Chemical Multimodal Large Language Model
by: Tan, Qian, et al.
Published: (2025)

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)

A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)

Chem-R: Learning to Reason as a Chemist
by: Wang, Weida, et al.
Published: (2025)

LOCR: Location-Guided Transformer for Optical Character Recognition
by: Sun, Yu, et al.
Published: (2024)

Language Models as Inductive Reasoners
by: Yang, Zonglin, et al.
Published: (2022)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
by: Li, Junxian, et al.
Published: (2024)

ChemLLM: A Chemical Large Language Model
by: Zhang, Di, et al.
Published: (2024)

SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
by: Kumar, Shivani, et al.
Published: (2024)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners
by: Xie, Tong, et al.
Published: (2024)

Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs
by: Tu, Chongjun, et al.
Published: (2025)

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
by: Huang, Hao, et al.
Published: (2024)

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models
by: Alkan, Atilla Kaan, et al.
Published: (2025)

PolyReal: A Benchmark for Real-World Polymer Science Workflows
by: Liu, Wanhao, et al.
Published: (2026)

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
by: Bai, Ge, et al.
Published: (2024)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
by: Kulkarni, Adithya, et al.
Published: (2025)

Exploring the Potential of Large Language Models in Computational Argumentation
by: Chen, Guizhen, et al.
Published: (2023)

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
by: Liu, Yu, et al.
Published: (2024)

Online Test-time Adaptation for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2024)

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems
by: Qiao, Hezhe, et al.
Published: (2026)

Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
by: Rabby, Gollam, et al.
Published: (2025)

Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Media
by: M, Megha Mariam K., et al.
Published: (2026)

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
by: Chen, Zihong, et al.
Published: (2025)

EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition
by: Aminimehr, Amirhossein, et al.
Published: (2023)

Iterative Pretraining Framework for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2025)

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
by: Wu, Jianyu, et al.
Published: (2025)

Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
by: Yeo, Wei Jie, et al.
Published: (2024)

Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
by: Yeo, Wei Jie, et al.
Published: (2024)

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
by: Ma, Hongxu, et al.
Published: (2026)

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data
by: Li, Ruikun, et al.
Published: (2025)

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
by: Xiao, Luwei, et al.
Published: (2025)