Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zonglin, Du, Xinya, Li, Junxian, Zheng, Jie, Poria, Soujanya, Cambria, Erik |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
by: Yang, Zonglin, et al.
Published: (2024)
by: Yang, Zonglin, et al.
Published: (2024)
Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025)
by: Liu, Yan, et al.
Published: (2025)
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Language Models as Inductive Reasoners
by: Yang, Zonglin, et al.
Published: (2022)
by: Yang, Zonglin, et al.
Published: (2022)
Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)
by: Han, Wei, et al.
Published: (2024)
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)
by: Bhardwaj, Rishabh, et al.
Published: (2024)
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
by: Luo, Meng, et al.
Published: (2024)
by: Luo, Meng, et al.
Published: (2024)
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
by: Liu, Yujie, et al.
Published: (2025)
by: Liu, Yujie, et al.
Published: (2025)
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
by: Li, Ruosen, et al.
Published: (2023)
by: Li, Ruosen, et al.
Published: (2023)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
by: Koneru, Sai, et al.
Published: (2023)
by: Koneru, Sai, et al.
Published: (2023)
Stacked from One: Multi-Scale Self-Injection for Context Window Extension
by: Han, Wei, et al.
Published: (2026)
by: Han, Wei, et al.
Published: (2026)
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
by: Yang, Zonglin, et al.
Published: (2025)
by: Yang, Zonglin, et al.
Published: (2025)
Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision
by: Pala, Tej Deep, et al.
Published: (2025)
by: Pala, Tej Deep, et al.
Published: (2025)
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Two are better than one: Context window extension with multi-grained self-injection
by: Han, Wei, et al.
Published: (2024)
by: Han, Wei, et al.
Published: (2024)
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal
by: Prakash, Nirmalendu, et al.
Published: (2025)
by: Prakash, Nirmalendu, et al.
Published: (2025)
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
by: Li, Yanjie, et al.
Published: (2024)
by: Li, Yanjie, et al.
Published: (2024)
LLM4SR: A Survey on Large Language Models for Scientific Research
by: Luo, Ziming, et al.
Published: (2025)
by: Luo, Ziming, et al.
Published: (2025)
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)
by: Li, Ruochen, et al.
Published: (2024)
Toward Robust Multimodal Learning using Multimodal Foundational Models
by: Zhao, Xianbing, et al.
Published: (2024)
by: Zhao, Xianbing, et al.
Published: (2024)
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
by: Xu, Fangzhi, et al.
Published: (2023)
by: Xu, Fangzhi, et al.
Published: (2023)
Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature
by: Tao, Jinkai, et al.
Published: (2026)
by: Tao, Jinkai, et al.
Published: (2026)
SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
by: Kumar, Shivani, et al.
Published: (2024)
by: Kumar, Shivani, et al.
Published: (2024)
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
by: Ong, Keane, et al.
Published: (2025)
by: Ong, Keane, et al.
Published: (2025)
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
by: Han, Wei, et al.
Published: (2023)
by: Han, Wei, et al.
Published: (2023)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
$δ$-mem: Efficient Online Memory for Large Language Models
by: Lei, Jingdi, et al.
Published: (2026)
by: Lei, Jingdi, et al.
Published: (2026)
Enhancing Language Models for Robust Greenwashing Detection
by: Braun, Neil Heinrich, et al.
Published: (2026)
by: Braun, Neil Heinrich, et al.
Published: (2026)
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
by: Nadeem, Mohammad, et al.
Published: (2024)
by: Nadeem, Mohammad, et al.
Published: (2024)
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
by: Gupta, Prannaya, et al.
Published: (2024)
by: Gupta, Prannaya, et al.
Published: (2024)
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles
by: Toh, Vernon Y. H., et al.
Published: (2025)
by: Toh, Vernon Y. H., et al.
Published: (2025)
DialogXpert: Driving Intelligent and Emotion-Aware Conversations through Online Value-Based Reinforcement Learning with LLM Priors
by: Rakib, Tazeek Bin Abdur, et al.
Published: (2025)
by: Rakib, Tazeek Bin Abdur, et al.
Published: (2025)
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
by: Dong, Yanfei, et al.
Published: (2024)
by: Dong, Yanfei, et al.
Published: (2024)
A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science
by: Yang, Zonglin, et al.
Published: (2026)
by: Yang, Zonglin, et al.
Published: (2026)
Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)
by: Zou, Chenghui, et al.
Published: (2026)
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
by: Zhang, Pengsong, et al.
Published: (2025)
by: Zhang, Pengsong, et al.
Published: (2025)
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
by: Song, Siqi, et al.
Published: (2025)
by: Song, Siqi, et al.
Published: (2025)
LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
by: Song, Maojia, et al.
Published: (2025)
by: Song, Maojia, et al.
Published: (2025)
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
by: Agarwal, Dhruv, et al.
Published: (2025)
by: Agarwal, Dhruv, et al.
Published: (2025)
Similar Items
-
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
by: Yang, Zonglin, et al.
Published: (2024) -
Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025) -
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023) -
Language Models as Inductive Reasoners
by: Yang, Zonglin, et al.
Published: (2022) -
Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)