Buchumschlag

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Pang, Xinyu, Hong, Ruixin, Zhou, Zhanke, Lv, Fangrui, Yang, Xinwei, Liang, Zhilong, Han, Bo, Zhang, Changshui
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning
von: Hong, Ruixin, et al.
Veröffentlicht: (2023)

Abstraction-of-Thought Makes Language Models Better Reasoners
von: Hong, Ruixin, et al.
Veröffentlicht: (2024)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
von: Wang, Yajing, et al.
Veröffentlicht: (2024)

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
von: Zhou, Zhanke, et al.
Veröffentlicht: (2025)

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
von: Zhou, Zhanke, et al.
Veröffentlicht: (2024)

Solving Math Word Problems via Cooperative Reasoning induced Language Models
von: Zhu, Xinyu, et al.
Veröffentlicht: (2022)

CLOMO: Counterfactual Logical Modification with Large Language Models
von: Huang, Yinya, et al.
Veröffentlicht: (2023)

Knowledge Integration Decay in Search-Augmented Reasoning of Large Language Models
von: Yu, Sangwon, et al.
Veröffentlicht: (2026)

Large Language Models are In-context Teachers for Knowledge Reasoning
von: Zhao, Jiachen, et al.
Veröffentlicht: (2023)

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning
von: Reganova, Elizaveta, et al.
Veröffentlicht: (2024)

Symbolic or Numerical? Understanding Physics Problem Solving in Reasoning LLMs
von: Dan, Nifu, et al.
Veröffentlicht: (2025)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
von: Tran, Hieu, et al.
Veröffentlicht: (2024)

From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
von: Yi, Xie, et al.
Veröffentlicht: (2025)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
von: Chen, Jinwen, et al.
Veröffentlicht: (2025)

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
von: Yin, Shuo, et al.
Veröffentlicht: (2024)

PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
von: Qiu, Shi, et al.
Veröffentlicht: (2025)

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
von: Li, Alan, et al.
Veröffentlicht: (2025)

Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
von: Kim, Jonathan, et al.
Veröffentlicht: (2025)

Linear Reasoning vs. Proof by Cases: Obstacles for Large Language Models in FOL Problem Solving
von: Ji, Yuliang, et al.
Veröffentlicht: (2026)

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
von: Zhou, Zhanke, et al.
Veröffentlicht: (2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
von: Ao, Tu, et al.
Veröffentlicht: (2025)

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems
von: Siddique, Oshayer, et al.
Veröffentlicht: (2025)

ALTER: Augmentation for Large-Table-Based Reasoning
von: Zhang, Han, et al.
Veröffentlicht: (2024)

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
von: Zhang, Liyu, et al.
Veröffentlicht: (2024)

Computational Reasoning of Large Language Models
von: Wu, Haitao, et al.
Veröffentlicht: (2025)

Structured Reasoning for Large Language Models
von: Han, Jinyi, et al.
Veröffentlicht: (2026)

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
von: Paul, Bidyarthi, et al.
Veröffentlicht: (2025)

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
von: Hu, Peng, et al.
Veröffentlicht: (2024)

Graph-Augmented Reasoning with Large Language Models for Tobacco Pest and Disease Management
von: Li, Siyu, et al.
Veröffentlicht: (2026)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
von: Yang, Ling, et al.
Veröffentlicht: (2024)

TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
von: Guo, Xinyu, et al.
Veröffentlicht: (2026)

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
von: Liu, Yantao, et al.
Veröffentlicht: (2024)

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
von: Zhou, Yue, et al.
Veröffentlicht: (2024)

MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning
von: Tan, Xingyu, et al.
Veröffentlicht: (2025)

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
von: Luo, Linhao, et al.
Veröffentlicht: (2024)

Large Language Models are Contrastive Reasoners
von: Yao, Liang
Veröffentlicht: (2024)

Self-consistent Reasoning For Solving Math Word Problems
von: Xiong, Jing, et al.
Veröffentlicht: (2022)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
von: Yang, Zhe, et al.
Veröffentlicht: (2024)

Knowledge Vector of Logical Reasoning in Large Language Models
von: Wang, Zixuan, et al.
Veröffentlicht: (2026)

Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models
von: Wang, Xiaolong, et al.
Veröffentlicht: (2024)