MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yang, Zonglin, Liu, Wanhao, Gao, Ben, Xie, Tong, Li, Yuqiang, Ouyang, Wanli, Poria, Soujanya, Cambria, Erik, Zhou, Dongzhan |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
par: Yang, Zonglin, et autres
Publié: (2025)
par: Yang, Zonglin, et autres
Publié: (2025)
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
par: Liu, Wanhao, et autres
Publié: (2025)
par: Liu, Wanhao, et autres
Publié: (2025)
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
par: Yang, Zonglin, et autres
Publié: (2023)
par: Yang, Zonglin, et autres
Publié: (2023)
Harnessing Large Language Models for Scientific Novelty Detection
par: Liu, Yan, et autres
Publié: (2025)
par: Liu, Yan, et autres
Publié: (2025)
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
par: Liu, Yujie, et autres
Publié: (2025)
par: Liu, Yujie, et autres
Publié: (2025)
ChemMLLM: Chemical Multimodal Large Language Model
par: Tan, Qian, et autres
Publié: (2025)
par: Tan, Qian, et autres
Publié: (2025)
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
par: Yang, Zonglin, et autres
Publié: (2026)
par: Yang, Zonglin, et autres
Publié: (2026)
Towards Robust Instruction Tuning on Multimodal Large Language Models
par: Han, Wei, et autres
Publié: (2024)
par: Han, Wei, et autres
Publié: (2024)
ChemLLM: A Chemical Large Language Model
par: Zhang, Di, et autres
Publié: (2024)
par: Zhang, Di, et autres
Publié: (2024)
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
par: Bhardwaj, Rishabh, et autres
Publié: (2024)
par: Bhardwaj, Rishabh, et autres
Publié: (2024)
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
par: Yang, Zonglin, et autres
Publié: (2023)
par: Yang, Zonglin, et autres
Publié: (2023)
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
par: Hazra, Rima, et autres
Publié: (2024)
par: Hazra, Rima, et autres
Publié: (2024)
Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning
par: Toh, Vernon Y. H., et autres
Publié: (2024)
par: Toh, Vernon Y. H., et autres
Publié: (2024)
DARWIN 1.5: Large Language Models as Materials Science Adapted Learners
par: Xie, Tong, et autres
Publié: (2024)
par: Xie, Tong, et autres
Publié: (2024)
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
par: Hazra, Rima, et autres
Publié: (2024)
par: Hazra, Rima, et autres
Publié: (2024)
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
par: Shen, Siqi, et autres
Publié: (2024)
par: Shen, Siqi, et autres
Publié: (2024)
PREMISE: Matching-based Prediction for Accurate Review Recommendation
par: Han, Wei, et autres
Publié: (2025)
par: Han, Wei, et autres
Publié: (2025)
Stacked from One: Multi-Scale Self-Injection for Context Window Extension
par: Han, Wei, et autres
Publié: (2026)
par: Han, Wei, et autres
Publié: (2026)
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
par: Deep, Pala Tej, et autres
Publié: (2024)
par: Deep, Pala Tej, et autres
Publié: (2024)
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
par: Zhang, Di, et autres
Publié: (2024)
par: Zhang, Di, et autres
Publié: (2024)
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
par: Luo, Meng, et autres
Publié: (2024)
par: Luo, Meng, et autres
Publié: (2024)
Two are better than one: Context window extension with multi-grained self-injection
par: Han, Wei, et autres
Publié: (2024)
par: Han, Wei, et autres
Publié: (2024)
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
par: Song, Siqi, et autres
Publié: (2025)
par: Song, Siqi, et autres
Publié: (2025)
Chem3DLLM: 3D Multimodal Large Language Models for Chemistry
par: Jiang, Lei, et autres
Publié: (2025)
par: Jiang, Lei, et autres
Publié: (2025)
Language Models as Inductive Reasoners
par: Yang, Zonglin, et autres
Publié: (2022)
par: Yang, Zonglin, et autres
Publié: (2022)
Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming
par: Han, Vernon Toh Yan, et autres
Publié: (2024)
par: Han, Vernon Toh Yan, et autres
Publié: (2024)
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
par: Yeo, Wei Jie, et autres
Publié: (2024)
par: Yeo, Wei Jie, et autres
Publié: (2024)
A Systematic Analysis of Biases in Large Language Models
par: Zhang, Xulang, et autres
Publié: (2025)
par: Zhang, Xulang, et autres
Publié: (2025)
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction
par: Sun, Qi, et autres
Publié: (2024)
par: Sun, Qi, et autres
Publié: (2024)
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models
par: Chen, Ruizhe, et autres
Publié: (2025)
par: Chen, Ruizhe, et autres
Publié: (2025)
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
par: Chia, Yew Ken, et autres
Publié: (2024)
par: Chia, Yew Ken, et autres
Publié: (2024)
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
par: Zhang, Di, et autres
Publié: (2024)
par: Zhang, Di, et autres
Publié: (2024)
Inference Time Alignment with Reward-Guided Tree Search
par: Hung, Chia-Yu, et autres
Publié: (2024)
par: Hung, Chia-Yu, et autres
Publié: (2024)
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
par: Li, Xingxuan, et autres
Publié: (2023)
par: Li, Xingxuan, et autres
Publié: (2023)
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
par: Li, Junxian, et autres
Publié: (2024)
par: Li, Junxian, et autres
Publié: (2024)
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
par: Zhang, Shaozuo, et autres
Publié: (2025)
par: Zhang, Shaozuo, et autres
Publié: (2025)
CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning
par: Wu, Mengsong, et autres
Publié: (2025)
par: Wu, Mengsong, et autres
Publié: (2025)
PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
par: Jin, Weisheng, et autres
Publié: (2025)
par: Jin, Weisheng, et autres
Publié: (2025)
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
par: Koneru, Sai, et autres
Publié: (2023)
par: Koneru, Sai, et autres
Publié: (2023)
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
par: Madaan, Lovish, et autres
Publié: (2024)
par: Madaan, Lovish, et autres
Publié: (2024)
Documents similaires
-
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
par: Yang, Zonglin, et autres
Publié: (2025) -
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
par: Liu, Wanhao, et autres
Publié: (2025) -
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
par: Yang, Zonglin, et autres
Publié: (2023) -
Harnessing Large Language Models for Scientific Novelty Detection
par: Liu, Yan, et autres
Publié: (2025) -
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
par: Liu, Yujie, et autres
Publié: (2025)