Cover Image

Dynamic Early Exit in Reasoning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Chenxu, Si, Qingyi, Duan, Yongjie, Zhu, Zheliang, Zhu, Chenyu, Li, Qiaowei, Chen, Minghui, Lin, Zheng, Wang, Weiping
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
by: Dai, Muzhi, et al.
Published: (2025)

Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)

Test-time Prompt Intervention
by: Yang, Chenxu, et al.
Published: (2025)

System 1&2 Synergy via Dynamic Model Interpolation
by: Yang, Chenxu, et al.
Published: (2026)

A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles
by: Chen, Siyuan, et al.
Published: (2024)

Are Large Language Models Table-based Fact-Checkers?
by: Zhang, Hanwen, et al.
Published: (2024)

FlashThink: An Early Exit Method For Efficient Reasoning
by: Jiang, Guochao, et al.
Published: (2025)

SpecExit: Accelerating Large Reasoning Model via Speculative Exit
by: Yang, Rubing, et al.
Published: (2025)

Multimodal Table Understanding
by: Zheng, Mingyu, et al.
Published: (2024)

Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
by: Zhu, Xunyu, et al.
Published: (2024)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

ADEPT: Adaptive Dynamic Early-Exit Process for Transformers
by: Yoo, Sangmin, et al.
Published: (2026)

Weights-Rotated Preference Optimization for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)

A Closer Look into LLMs for Table Understanding
by: Wang, Jia, et al.
Published: (2026)

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
by: Tan, Yuqiao, et al.
Published: (2025)

Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning
by: Chen, Benteng, et al.
Published: (2026)

The Diminishing Returns of Early-Exit Decoding in Modern LLMs
by: Wei, Rui, et al.
Published: (2026)

LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)

TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
by: Nagle, Alliot, et al.
Published: (2026)

A Survey on Model Compression for Large Language Models
by: Zhu, Xunyu, et al.
Published: (2023)

DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
by: Bajpai, Divya Jyoti, et al.
Published: (2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
by: Pan, Xuchen, et al.
Published: (2024)

Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
by: Li, Ruanjun, et al.
Published: (2025)

Self-Distilled RLVR
by: Yang, Chenxu, et al.
Published: (2026)

Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
by: Lu, Qingyu, et al.
Published: (2025)

Defending against Jailbreak through Early Exit Generation of Large Language Models
by: Zhao, Chongwen, et al.
Published: (2024)

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
by: Zhang, Yichi, et al.
Published: (2025)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
by: Zhu, Kaijie, et al.
Published: (2023)

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
by: Elhoushi, Mostafa, et al.
Published: (2024)

Dissecting Failure Dynamics in Large Language Model Reasoning
by: Zhu, Wei, et al.
Published: (2026)

Orthogonal Finetuning for Direct Preference Optimization
by: Yang, Chenxu, et al.
Published: (2024)

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
by: Zhu, Jason, et al.
Published: (2025)

One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit Levels
by: Seshadri, Amrit Diggavi
Published: (2025)

Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation
by: Cui, Zhiqing, et al.
Published: (2025)

BEExformer: A Fast Inferencing Binarized Transformer with Early Exits
by: Ansar, Wazib, et al.
Published: (2024)

CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
by: Bajpai, Divya Jyoti, et al.
Published: (2024)

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
by: Zheng, Zi'ou, et al.
Published: (2024)