Cover Image

Learning to Reason via Mixture-of-Thought for Logical Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Tong, Chen, Lichang, Han, Simeng, McCoy, R. Thomas, Huang, Heng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
by: Prabhakar, Akshara, et al.
Published: (2024)

Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear
by: McCoy, R. Thomas
Published: (2026)

Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
by: Han, Simeng, et al.
Published: (2025)

Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
by: Zhou, Zhenghao, et al.
Published: (2024)

Evaluating the Usage of African-American Vernacular English in Large Language Models
by: Dunlap, Deja, et al.
Published: (2026)

Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
by: Hobbs, Claire, et al.
Published: (2026)

Faithful Logical Reasoning via Symbolic Chain-of-Thought
by: Xu, Jundong, et al.
Published: (2024)

Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems
by: Miner, Stephen, et al.
Published: (2024)

Causal Interventions on Continuous Variables: A Case Study on Verb Bias in Steering Vectors for In-Context Learning
by: Zhou, Zhenghao Herbert, et al.
Published: (2026)

The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping
by: Zhu, Xiaomeng, et al.
Published: (2025)

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
by: Liu, Tongxuan, et al.
Published: (2024)

modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
by: Chi, Nathan A., et al.
Published: (2024)

Minimization of Boolean Complexity in In-Context Concept Learning
by: Wang, Leroy Z., et al.
Published: (2024)

Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate
by: Liu, Chenxi, et al.
Published: (2026)

Optimizing Language Model's Reasoning Abilities with Weak Supervision
by: Tong, Yongqi, et al.
Published: (2024)

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
by: Liu, Junteng, et al.
Published: (2025)

Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
by: Lei, Yuanyuan, et al.
Published: (2024)

Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
by: Yu, Sheldon, et al.
Published: (2025)

Written Japanese for Students of Chinese.
by: McCoy, John
Published: (1969)

Non-Interactive Symbolic-Aided Chain-of-Thought for Logical Reasoning
by: Nguyen, Phuong Minh, et al.
Published: (2025)

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
by: Han, Simeng, et al.
Published: (2024)

ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room
by: Mehandru, Nikita, et al.
Published: (2025)

Efficient Reasoning via Chain of Unconscious Thought
by: Gong, Ruihan, et al.
Published: (2025)

Tagging the Thought: Unlocking Personalization Reasoning via Reinforcement Learning
by: Jin, Song, et al.
Published: (2025)

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning
by: Liu, Tao, et al.
Published: (2025)

Reasoning Topology Matters: Network-of-Thought for Complex Reasoning Tasks
by: Huang, Fan
Published: (2026)

LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
by: Jiang, Jin, et al.
Published: (2024)

The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2026)

HYBRIDMIND: Meta Selection of Natural Language and Symbolic Language for Enhanced LLM Reasoning
by: Han, Simeng, et al.
Published: (2024)

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
by: Zhang, Chenyuan, et al.
Published: (2026)

Understanding Inter-Session Intentions via Complex Logical Reasoning
by: Bai, Jiaxin, et al.
Published: (2023)

Thought Graph: Generating Thought Process for Biological Reasoning
by: Hsu, Chi-Yang, et al.
Published: (2024)

Canvas-of-Thought: Grounding Reasoning via Mutable Structured States
by: Sun, Lingzhuang, et al.
Published: (2026)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning
by: Lin, Jingyang, et al.
Published: (2025)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
by: Chen, Yangyi, et al.
Published: (2023)

Demystifying Long Chain-of-Thought Reasoning in LLMs
by: Yeo, Edward, et al.
Published: (2025)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
by: Lee, Jinu, et al.
Published: (2025)

LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
by: Xu, Jundong, et al.
Published: (2025)

From Lists to Emojis: How Format Bias Affects Model Alignment
by: Zhang, Xuanchang, et al.
Published: (2024)