Image de couverture de livre

DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yan, Kaiwen, Shi, Xuanqing, Guo, Hongcheng, Wang, Wenxuan, Zhang, Zhuosheng, Qin, Chengwei
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
par: Sui, Yang, et autres
Publié: (2025)

Structured Chemistry Reasoning with Large Language Models
par: Ouyang, Siru, et autres
Publié: (2023)

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
par: Guan, Weixin, et autres
Publié: (2026)

Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
par: Wang, Yiming, et autres
Publié: (2023)

Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
par: Srivastava, Saurabh, et autres
Publié: (2025)

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
par: Diao, Xingjian, et autres
Publié: (2026)

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
par: Vamvourellis, Dimitris, et autres
Publié: (2025)

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit
par: Yi, Biao, et autres
Publié: (2025)

THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
par: Pu, Xiao, et autres
Publié: (2025)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering
par: Huang, Yao, et autres
Publié: (2025)

Mitigating Overthinking through Reasoning Shaping
par: Song, Feifan, et autres
Publié: (2025)

Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
par: Wang, Qianyue, et autres
Publié: (2026)

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
par: Wei, Zihao, et autres
Publié: (2025)

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
par: Srivastava, Gaurav, et autres
Publié: (2025)

TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
par: Guo, Xinyu, et autres
Publié: (2026)

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
par: Han, Jinyi, et autres
Publié: (2025)

Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
par: Wu, Haotian, et autres
Publié: (2025)

Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations
par: Cheng, Pengzhou, et autres
Publié: (2025)

Multimodal Chain-of-Thought Reasoning in Language Models
par: Zhang, Zhuosheng, et autres
Publié: (2023)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
par: Tang, Xiangru, et autres
Publié: (2023)

Implicit Reasoning in Large Language Models: A Comprehensive Survey
par: Li, Jindong, et autres
Publié: (2025)

A Survey of Inductive Reasoning for Large Language Models
par: Chen, Kedi, et autres
Publié: (2025)

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
par: Yan, Kaiwen, et autres
Publié: (2025)

Reliable Control-Point Selection for Steering Reasoning in Large Language Models
par: Zhuang, Haomin, et autres
Publié: (2026)

Think, But Don't Overthink: Reproducing Recursive Language Models
par: Wang, Daren
Publié: (2026)

Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
par: Wu, Yexin, et autres
Publié: (2024)

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
par: Zhou, Kaiwen, et autres
Publié: (2023)

Large Language Models Are Neurosymbolic Reasoners
par: Fang, Meng, et autres
Publié: (2024)

Brainstorming Brings Power to Large Language Models of Knowledge Reasoning
par: Qin, Zining, et autres
Publié: (2024)

Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
par: Hassid, Michael, et autres
Publié: (2025)

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
par: Su, Jinyan, et autres
Publié: (2025)

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
par: Zhao, Weixiang, et autres
Publié: (2025)

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
par: Jedidi, Nour, et autres
Publié: (2025)

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
par: Wang, Weiqi, et autres
Publié: (2024)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
par: Fan, Chenrui, et autres
Publié: (2025)

Meta Reasoning for Large Language Models
par: Gao, Peizhong, et autres
Publié: (2024)

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
par: Liu, Jinyi, et autres
Publié: (2025)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
par: Ding, Wenxuan, et autres
Publié: (2023)

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
par: Yadav, Anushka, et autres
Publié: (2025)

Agentic Reasoning for Large Language Models
par: Wei, Tianxin, et autres
Publié: (2026)