Saved in:
| Main Authors: | Luo, Yihong, He, Wenwu, Cui, Zhuo-Xu, Liang, Dong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.06409 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)
by: Cui, Yingqian, et al.
Published: (2025)
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
by: Li, Xintong, et al.
Published: (2026)
by: Li, Xintong, et al.
Published: (2026)
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
by: Wang, Zhuo, et al.
Published: (2026)
by: Wang, Zhuo, et al.
Published: (2026)
Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning
by: Hu, Pengfei, et al.
Published: (2024)
by: Hu, Pengfei, et al.
Published: (2024)
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
by: Khalifa, Muhammad, et al.
Published: (2023)
by: Khalifa, Muhammad, et al.
Published: (2023)
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
by: Cui, Yingqian, et al.
Published: (2024)
by: Cui, Yingqian, et al.
Published: (2024)
Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning
by: Turpin, Miles, et al.
Published: (2025)
by: Turpin, Miles, et al.
Published: (2025)
SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought
by: Li, Guanghao, et al.
Published: (2025)
by: Li, Guanghao, et al.
Published: (2025)
Reason from Future: Reverse Thought Chain Enhances LLM Reasoning
by: Xu, Yinlong, et al.
Published: (2025)
by: Xu, Yinlong, et al.
Published: (2025)
Reasoning Models Struggle to Control their Chains of Thought
by: Yueh-Han, Chen, et al.
Published: (2026)
by: Yueh-Han, Chen, et al.
Published: (2026)
Promoting Efficient Reasoning with Verifiable Stepwise Reward
by: Yue, Chuhuai, et al.
Published: (2025)
by: Yue, Chuhuai, et al.
Published: (2025)
Scalable Chain of Thoughts via Elastic Reasoning
by: Xu, Yuhui, et al.
Published: (2025)
by: Xu, Yuhui, et al.
Published: (2025)
Latent Chain-of-Thought for Visual Reasoning
by: Sun, Guohao, et al.
Published: (2025)
by: Sun, Guohao, et al.
Published: (2025)
Learning Modal-Mixed Chain-of-Thought Reasoning with Latent Embeddings
by: Shao, Yifei, et al.
Published: (2026)
by: Shao, Yifei, et al.
Published: (2026)
Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal
by: Yuan, Aojie, et al.
Published: (2026)
by: Yuan, Aojie, et al.
Published: (2026)
Value-Guided Search for Efficient Chain-of-Thought Reasoning
by: Wang, Kaiwen, et al.
Published: (2025)
by: Wang, Kaiwen, et al.
Published: (2025)
Automatic Question Generation for Intuitive Learning Utilizing Causal Graph Guided Chain of Thought Reasoning
by: Wang, Nicholas X., et al.
Published: (2026)
by: Wang, Nicholas X., et al.
Published: (2026)
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning
by: Si, Wenwen, et al.
Published: (2026)
by: Si, Wenwen, et al.
Published: (2026)
LLM Reasoning Is Latent, Not the Chain of Thought
by: Wang, Wenshuo
Published: (2026)
by: Wang, Wenshuo
Published: (2026)
Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
by: Jing, Peiyuan, et al.
Published: (2025)
by: Jing, Peiyuan, et al.
Published: (2025)
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
by: Xu, Zifan, et al.
Published: (2023)
by: Xu, Zifan, et al.
Published: (2023)
Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning
by: Yu, Qifan, et al.
Published: (2025)
by: Yu, Qifan, et al.
Published: (2025)
Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text
by: Agrahari, Shifali, et al.
Published: (2025)
by: Agrahari, Shifali, et al.
Published: (2025)
DRT: Deep Reasoning Translation via Long Chain-of-Thought
by: Wang, Jiaan, et al.
Published: (2024)
by: Wang, Jiaan, et al.
Published: (2024)
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
by: Liu, Yule, et al.
Published: (2025)
by: Liu, Yule, et al.
Published: (2025)
Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
by: Lu, Chengda, et al.
Published: (2025)
by: Lu, Chengda, et al.
Published: (2025)
DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
by: Li, Yiqi, et al.
Published: (2025)
by: Li, Yiqi, et al.
Published: (2025)
Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought?
by: von Recum, Alexander, et al.
Published: (2026)
by: von Recum, Alexander, et al.
Published: (2026)
Diagnosing Pathological Chain-of-Thought in Reasoning Models
by: Liu, Manqing, et al.
Published: (2026)
by: Liu, Manqing, et al.
Published: (2026)
ORION: Teaching Language Models to Reason Efficiently in the Language of Thought
by: Tanmay, Kumar, et al.
Published: (2025)
by: Tanmay, Kumar, et al.
Published: (2025)
Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning
by: Mehta, Deep Pankajbhai
Published: (2025)
by: Mehta, Deep Pankajbhai
Published: (2025)
EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Tailored Teaching with Balanced Difficulty: Elevating Reasoning in Multimodal Chain-of-Thought via Prompt Curriculum
by: Yang, Xinglong, et al.
Published: (2025)
by: Yang, Xinglong, et al.
Published: (2025)
SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video Analysis
by: Low, Chang Han, et al.
Published: (2025)
by: Low, Chang Han, et al.
Published: (2025)
The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers?
by: Pengmei, Zihan, et al.
Published: (2025)
by: Pengmei, Zihan, et al.
Published: (2025)
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
by: Zhang, Hongbo, et al.
Published: (2025)
by: Zhang, Hongbo, et al.
Published: (2025)
EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
by: Yan, Hongxi, et al.
Published: (2026)
by: Yan, Hongxi, et al.
Published: (2026)
Does Chain-of-Thought Reasoning Help Mobile GUI Agent? An Empirical Study
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
Similar Items
-
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025) -
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
by: Li, Xintong, et al.
Published: (2026) -
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
by: Wang, Zhuo, et al.
Published: (2026) -
Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning
by: Hu, Pengfei, et al.
Published: (2024) -
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)