Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
Fuente:
arXiv
Saved in:
| Main Authors: | Guan, Weixin, Li, Liang, Liu, Jiapeng, Li, Bing, Fu, Peng, Fang, Chengyang, Hao, Xiaoshuai, Ma, Can, Wang, Weiping |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Overthinking through Reasoning Shaping
by: Song, Feifan, et al.
Published: (2025)
by: Song, Feifan, et al.
Published: (2025)
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets
by: Liu, Jiapeng, et al.
Published: (2026)
by: Liu, Jiapeng, et al.
Published: (2026)
Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
by: Wang, Qianyue, et al.
Published: (2026)
by: Wang, Qianyue, et al.
Published: (2026)
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
by: Pu, Xiao, et al.
Published: (2025)
by: Pu, Xiao, et al.
Published: (2025)
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit
by: Yi, Biao, et al.
Published: (2025)
by: Yi, Biao, et al.
Published: (2025)
DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models
by: Yan, Kaiwen, et al.
Published: (2025)
by: Yan, Kaiwen, et al.
Published: (2025)
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
by: Sui, Yang, et al.
Published: (2025)
by: Sui, Yang, et al.
Published: (2025)
Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
by: Srivastava, Saurabh, et al.
Published: (2025)
by: Srivastava, Saurabh, et al.
Published: (2025)
Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
by: Vamvourellis, Dimitris, et al.
Published: (2025)
by: Vamvourellis, Dimitris, et al.
Published: (2025)
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
by: Diao, Xingjian, et al.
Published: (2026)
by: Diao, Xingjian, et al.
Published: (2026)
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
by: Wei, Zihao, et al.
Published: (2025)
by: Wei, Zihao, et al.
Published: (2025)
Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
by: Hao, Jinbo, et al.
Published: (2026)
by: Hao, Jinbo, et al.
Published: (2026)
ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models
by: Xu, Yuanfeng, et al.
Published: (2025)
by: Xu, Yuanfeng, et al.
Published: (2025)
Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
by: Han, Jinyi, et al.
Published: (2025)
by: Han, Jinyi, et al.
Published: (2025)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)
by: Liang, Feng, et al.
Published: (2025)
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
by: Fan, Chenrui, et al.
Published: (2025)
by: Fan, Chenrui, et al.
Published: (2025)
What to Format and How: A Benchmark and Workflow Approach for Document Formatting
by: Rao, Shihao, et al.
Published: (2026)
by: Rao, Shihao, et al.
Published: (2026)
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)
by: Srivastava, Gaurav, et al.
Published: (2025)
TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt
by: Peng, Keqin, et al.
Published: (2025)
by: Peng, Keqin, et al.
Published: (2025)
A Survey on Model Compression for Large Language Models
by: Zhu, Xunyu, et al.
Published: (2023)
by: Zhu, Xunyu, et al.
Published: (2023)
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
by: Jedidi, Nour, et al.
Published: (2025)
by: Jedidi, Nour, et al.
Published: (2025)
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
by: Luo, Linhao, et al.
Published: (2023)
by: Luo, Linhao, et al.
Published: (2023)
Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models
by: Liu, Yongjiang, et al.
Published: (2025)
by: Liu, Yongjiang, et al.
Published: (2025)
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
by: Hassid, Michael, et al.
Published: (2025)
by: Hassid, Michael, et al.
Published: (2025)
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
by: Su, Jinyan, et al.
Published: (2025)
by: Su, Jinyan, et al.
Published: (2025)
Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
by: Ling, Guoming, et al.
Published: (2026)
by: Ling, Guoming, et al.
Published: (2026)
Exchange of Perspective Prompting Enhances Reasoning in Large Language Models
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning
by: Zhao, Zhuorui, et al.
Published: (2025)
by: Zhao, Zhuorui, et al.
Published: (2025)
Explore Briefly, Then Decide: Mitigating LLM Overthinking via Cumulative Entropy Regulation
by: Bin, Yi, et al.
Published: (2025)
by: Bin, Yi, et al.
Published: (2025)
Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
by: Zhang, Ge, et al.
Published: (2024)
by: Zhang, Ge, et al.
Published: (2024)
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
by: Li, Yihan, et al.
Published: (2025)
by: Li, Yihan, et al.
Published: (2025)
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
by: Luo, Linhao, et al.
Published: (2024)
by: Luo, Linhao, et al.
Published: (2024)
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning
by: Wan, Qian, et al.
Published: (2026)
by: Wan, Qian, et al.
Published: (2026)
Similar Items
-
Mitigating Overthinking through Reasoning Shaping
by: Song, Feifan, et al.
Published: (2025) -
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025) -
EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets
by: Liu, Jiapeng, et al.
Published: (2026) -
Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
by: Zhu, Xunyu, et al.
Published: (2024) -
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
by: Wang, Qianyue, et al.
Published: (2026)