Saved in:
| Main Authors: | Wu, Junhong, Lu, Jinliang, Ren, Zixuan, Hu, Gangqiang, Wu, Zhi, Dai, Dai, Wu, Hua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.03440 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
by: Wang, Shouren, et al.
Published: (2025)
by: Wang, Shouren, et al.
Published: (2025)
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
by: Qian, Chen, et al.
Published: (2025)
by: Qian, Chen, et al.
Published: (2025)
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2025)
by: Tang, Jiakai, et al.
Published: (2025)
Demystifying Domain-adaptive Post-training for Financial LLMs
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
by: Zeng, Zhongshen, et al.
Published: (2024)
by: Zeng, Zhongshen, et al.
Published: (2024)
Parallel Scaling Law: Unveiling Reasoning Generalization through A Cross-Linguistic Perspective
by: Yang, Wen, et al.
Published: (2025)
by: Yang, Wen, et al.
Published: (2025)
Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
by: Lacombe, Romain, et al.
Published: (2025)
by: Lacombe, Romain, et al.
Published: (2025)
MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
by: Chen, Hongwei, et al.
Published: (2025)
by: Chen, Hongwei, et al.
Published: (2025)
Thinking LLMs: General Instruction Following with Thought Generation
by: Wu, Tianhao, et al.
Published: (2024)
by: Wu, Tianhao, et al.
Published: (2024)
Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation
by: Liu, Jinliang, et al.
Published: (2025)
by: Liu, Jinliang, et al.
Published: (2025)
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
by: Zhu, Zihao, et al.
Published: (2025)
by: Zhu, Zihao, et al.
Published: (2025)
How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning
by: Chen, Haoyang, et al.
Published: (2026)
by: Chen, Haoyang, et al.
Published: (2026)
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation
by: Dai, Chengwei, et al.
Published: (2024)
by: Dai, Chengwei, et al.
Published: (2024)
SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
by: Shi, Dachuan, et al.
Published: (2025)
by: Shi, Dachuan, et al.
Published: (2025)
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
by: Dai, Hui, et al.
Published: (2024)
by: Dai, Hui, et al.
Published: (2024)
Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs
by: Wang, Yuanxin, et al.
Published: (2025)
by: Wang, Yuanxin, et al.
Published: (2025)
Do LLMs Really Think Step-by-step In Implicit Reasoning?
by: Yu, Yijiong
Published: (2024)
by: Yu, Yijiong
Published: (2024)
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
by: Yong, Xixian, et al.
Published: (2025)
by: Yong, Xixian, et al.
Published: (2025)
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
by: Zhou, Ruiwen, et al.
Published: (2024)
by: Zhou, Ruiwen, et al.
Published: (2024)
KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation
by: Zhang, Dalong, et al.
Published: (2025)
by: Zhang, Dalong, et al.
Published: (2025)
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)
by: Xie, Tian, et al.
Published: (2025)
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
Intermittent Semi-Working Mask: A New Masking Paradigm for LLMs
by: Hu, HaoYuan, et al.
Published: (2024)
by: Hu, HaoYuan, et al.
Published: (2024)
Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
Effectively Controlling Reasoning Models through Thinking Intervention
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
MixReasoning: Switching Modes to Think
by: Lu, Haiquan, et al.
Published: (2025)
by: Lu, Haiquan, et al.
Published: (2025)
Mission Impossible: Feedback-Guided Dynamic Interactive Planning for Improving Reasoning on LLMs
by: Yan, Dong, et al.
Published: (2025)
by: Yan, Dong, et al.
Published: (2025)
Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
by: Cao, Jie, et al.
Published: (2026)
by: Cao, Jie, et al.
Published: (2026)
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
by: Li, Jiazheng, et al.
Published: (2025)
by: Li, Jiazheng, et al.
Published: (2025)
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
by: Zeng, Xinyue, et al.
Published: (2026)
by: Zeng, Xinyue, et al.
Published: (2026)
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation
by: Dai, Chengwei, et al.
Published: (2024)
by: Dai, Chengwei, et al.
Published: (2024)
The Reasoning Error About Reasoning: Why Different Types of Reasoning Require Different Representational Structures
by: Wu, Yiling
Published: (2026)
by: Wu, Yiling
Published: (2026)
A2R: An Asymmetric Two-Stage Reasoning Framework for Parallel Reasoning
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
by: Shi, Yaorui, et al.
Published: (2025)
by: Shi, Yaorui, et al.
Published: (2025)
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
by: Chen, Qi, et al.
Published: (2024)
by: Chen, Qi, et al.
Published: (2024)
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
by: Lan, Xiaochong, et al.
Published: (2025)
by: Lan, Xiaochong, et al.
Published: (2025)
Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
by: Yang, Wen, et al.
Published: (2025)
by: Yang, Wen, et al.
Published: (2025)
Similar Items
-
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025) -
Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
by: Wang, Shouren, et al.
Published: (2025) -
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
by: Zhang, Zhen, et al.
Published: (2025) -
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
by: Qian, Chen, et al.
Published: (2025) -
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2025)