Entropy Centroids as Intrinsic Rewards for Test-Time Scaling
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Wenshuo, Zhu, Qi, Zeng, Xingshan, Mi, Fei, Shang, Lifeng, R., Yi, Fung |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
SELF: Self-Evolution with Language Feedback
by: Lu, Jianqiao, et al.
Published: (2023)
by: Lu, Jianqiao, et al.
Published: (2023)
From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
by: Huang, Yuzhen, et al.
Published: (2025)
by: Huang, Yuzhen, et al.
Published: (2025)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)
by: Yu, Erxin, et al.
Published: (2025)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
by: Karlekar, Sweta, et al.
Published: (2026)
by: Karlekar, Sweta, et al.
Published: (2026)
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
by: Zeng, Zhiyuan, et al.
Published: (2025)
by: Zeng, Zhiyuan, et al.
Published: (2025)
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
by: Liu, Qin, et al.
Published: (2025)
by: Liu, Qin, et al.
Published: (2025)
Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search
by: Cui, Yingqian, et al.
Published: (2025)
by: Cui, Yingqian, et al.
Published: (2025)
Inference-Time Scaling for Generalist Reward Modeling
by: Liu, Zijun, et al.
Published: (2025)
by: Liu, Zijun, et al.
Published: (2025)
Reinforcement Learning Teachers of Test Time Scaling
by: Cetin, Edoardo, et al.
Published: (2025)
by: Cetin, Edoardo, et al.
Published: (2025)
Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
by: Zuo, Bowen, et al.
Published: (2025)
by: Zuo, Bowen, et al.
Published: (2025)
YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
by: Yu, Xiao, et al.
Published: (2023)
by: Yu, Xiao, et al.
Published: (2023)
Reward Shaping to Mitigate Reward Hacking in RLHF
by: Fu, Jiayi, et al.
Published: (2025)
by: Fu, Jiayi, et al.
Published: (2025)
Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
by: Chen, Peter Baile, et al.
Published: (2025)
by: Chen, Peter Baile, et al.
Published: (2025)
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)
by: Zhao, James Xu, et al.
Published: (2025)
It's Not That Simple. An Analysis of Simple Test-Time Scaling
by: Wu, Guojun
Published: (2025)
by: Wu, Guojun
Published: (2025)
On the Role of Temperature Sampling in Test-Time Scaling
by: Wu, Yuheng, et al.
Published: (2025)
by: Wu, Yuheng, et al.
Published: (2025)
Crosslingual Reasoning through Test-Time Scaling
by: Yong, Zheng-Xin, et al.
Published: (2025)
by: Yong, Zheng-Xin, et al.
Published: (2025)
Entropy Aware Reward Guidance for Diffusion Language Model Alignment
by: Tejaswi, Atula, et al.
Published: (2026)
by: Tejaswi, Atula, et al.
Published: (2026)
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
by: Wang, Zige, et al.
Published: (2025)
by: Wang, Zige, et al.
Published: (2025)
Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
by: Guo, Jizhou, et al.
Published: (2025)
by: Guo, Jizhou, et al.
Published: (2025)
Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling
by: Monjur, Ocean, et al.
Published: (2026)
by: Monjur, Ocean, et al.
Published: (2026)
Mode-Conditioning Unlocks Superior Test-Time Scaling
by: Wu, Chen Henry, et al.
Published: (2025)
by: Wu, Chen Henry, et al.
Published: (2025)
Parallel Test-Time Scaling for Latent Reasoning Models
by: You, Runyang, et al.
Published: (2025)
by: You, Runyang, et al.
Published: (2025)
Atom of Thoughts for Markov LLM Test-Time Scaling
by: Teng, Fengwei, et al.
Published: (2025)
by: Teng, Fengwei, et al.
Published: (2025)
Iterative Deepening Sampling as Efficient Test-Time Scaling
by: Chen, Weizhe, et al.
Published: (2025)
by: Chen, Weizhe, et al.
Published: (2025)
Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, et al.
Published: (2025)
More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty
by: Cao, Lang, et al.
Published: (2025)
by: Cao, Lang, et al.
Published: (2025)
What Scales in Cross-Entropy Scaling Law?
by: Yan, Junxi, et al.
Published: (2025)
by: Yan, Junxi, et al.
Published: (2025)
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
On Designing Effective RL Reward at Training Time for LLM Reasoning
by: Gao, Jiaxuan, et al.
Published: (2024)
by: Gao, Jiaxuan, et al.
Published: (2024)
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
by: Chen, Peter, et al.
Published: (2025)
by: Chen, Peter, 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)
MarkovScale: Towards Optimal Sequential Scaling at Inference Time
by: Wang, Youkang, et al.
Published: (2026)
by: Wang, Youkang, et al.
Published: (2026)
PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization
by: Rahman, Ben
Published: (2025)
by: Rahman, Ben
Published: (2025)
Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
Similar Items
-
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025) -
SELF: Self-Evolution with Language Feedback
by: Lu, Jianqiao, et al.
Published: (2023) -
From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
by: Huang, Yuzhen, et al.
Published: (2025) -
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025) -
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)