Entropy-Gradient Inversion: Moving Toward Internal Mechanism of Large Reasoning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Junyao, Qian, Chen, Wang, Kun, Zhang, Linfeng, Zhang, Quanshi, Liu, Yong, Liu, Dongrui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
by: Yang, Junyao, et al.
Published: (2026)
by: Yang, Junyao, et al.
Published: (2026)
REEF: Representation Encoding Fingerprints for Large Language Models
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
by: Ma, Qianli, et al.
Published: (2025)
by: Ma, Qianli, et al.
Published: (2025)
Rethinking Entropy Regularization in Large Reasoning Models
by: Jiang, Yuxian, et al.
Published: (2025)
by: Jiang, Yuxian, et al.
Published: (2025)
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
by: Qian, Chen, et al.
Published: (2024)
by: Qian, Chen, et al.
Published: (2024)
Towards the Dynamics of a DNN Learning Symbolic Interactions
by: Ren, Qihan, et al.
Published: (2024)
by: Ren, Qihan, et al.
Published: (2024)
The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution
by: Qian, Chen, et al.
Published: (2026)
by: Qian, Chen, et al.
Published: (2026)
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)
Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
by: Liu, Xukai, et al.
Published: (2026)
by: Liu, Xukai, et al.
Published: (2026)
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
by: Chen, Guanxu, et al.
Published: (2025)
by: Chen, Guanxu, et al.
Published: (2025)
Identifying Semantic Induction Heads to Understand In-Context Learning
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
by: Wei, Qingyan, et al.
Published: (2025)
by: Wei, Qingyan, et al.
Published: (2025)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
by: Cui, Ganqu, et al.
Published: (2025)
by: Cui, Ganqu, et al.
Published: (2025)
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
by: Xu, Fengli, et al.
Published: (2025)
by: Xu, Fengli, et al.
Published: (2025)
Attributing Emergence in Million-Agent Systems
by: Tang, Ling, et al.
Published: (2026)
by: Tang, Ling, et al.
Published: (2026)
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
by: Yang, Junyao, et al.
Published: (2025)
by: Yang, Junyao, et al.
Published: (2025)
Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
by: Qian, Chen, et al.
Published: (2024)
by: Qian, Chen, et al.
Published: (2024)
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
by: Jin, Renren, et al.
Published: (2025)
by: Jin, Renren, et al.
Published: (2025)
Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective
by: Chen, Kun, et al.
Published: (2026)
by: Chen, Kun, et al.
Published: (2026)
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
by: Cao, Pengfei, et al.
Published: (2026)
by: Cao, Pengfei, et al.
Published: (2026)
ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models
by: Chen, Bin, et al.
Published: (2025)
by: Chen, Bin, et al.
Published: (2025)
Entropy-Aware Speculative Decoding Toward Improved LLM Reasoning
by: Su, Tiancheng, et al.
Published: (2025)
by: Su, Tiancheng, et al.
Published: (2025)
Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models
by: Liu, Kaiyuan, et al.
Published: (2025)
by: Liu, Kaiyuan, et al.
Published: (2025)
Towards the Resistance of Neural Network Watermarking to Fine-tuning
by: Tang, Ling, et al.
Published: (2025)
by: Tang, Ling, et al.
Published: (2025)
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)
by: Li, Haoling, et al.
Published: (2024)
Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
by: Shao, Chenyang, et al.
Published: (2025)
by: Shao, Chenyang, et al.
Published: (2025)
Entropy-based Exploration Conduction for Multi-step Reasoning
by: Zhang, Jinghan, et al.
Published: (2025)
by: Zhang, Jinghan, et al.
Published: (2025)
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
Logical Reasoning in Large Language Models: A Survey
by: Liu, Hanmeng, et al.
Published: (2025)
by: Liu, Hanmeng, et al.
Published: (2025)
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
by: Liu, Zhiyuan, et al.
Published: (2025)
by: Liu, Zhiyuan, et al.
Published: (2025)
Loop as a Bridge: Can Looped Transformers Truly Link Representation Space and Natural Language Outputs?
by: Chen, Guanxu, et al.
Published: (2026)
by: Chen, Guanxu, et al.
Published: (2026)
Dissecting Failure Dynamics in Large Language Model Reasoning
by: Zhu, Wei, et al.
Published: (2026)
by: Zhu, Wei, et al.
Published: (2026)
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
by: Shao, Shuai, et al.
Published: (2025)
by: Shao, Shuai, et al.
Published: (2025)
Exploring the System 1 Thinking Capability of Large Reasoning Models
by: Zhang, Wenyuan, et al.
Published: (2025)
by: Zhang, Wenyuan, et al.
Published: (2025)
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
by: Lou, Siyu, et al.
Published: (2024)
by: Lou, Siyu, et al.
Published: (2024)
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
by: Yang, Yukang, et al.
Published: (2025)
by: Yang, Yukang, et al.
Published: (2025)
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Similar Items
-
ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
by: Yang, Junyao, et al.
Published: (2026) -
REEF: Representation Encoding Fingerprints for Large Language Models
by: Zhang, Jie, et al.
Published: (2024) -
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
by: Ma, Qianli, et al.
Published: (2025) -
Rethinking Entropy Regularization in Large Reasoning Models
by: Jiang, Yuxian, et al.
Published: (2025) -
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
by: Qian, Chen, et al.
Published: (2024)