ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Bonan, Chen, Zhongqi, Song, Bowen, Li, Qinya, Wu, Fan, Chen, Guihai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)
by: Zhou, Ziang, et al.
Published: (2025)
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)
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025)
by: Su, Zhenpeng, et al.
Published: (2025)
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025)
by: Su, Zhenpeng, et al.
Published: (2025)
Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
by: Xin, Zewei, et al.
Published: (2024)
by: Xin, Zewei, et al.
Published: (2024)
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
by: Li, Zhiyuan, et al.
Published: (2026)
by: Li, Zhiyuan, et al.
Published: (2026)
DCPO: Dynamic Clipping Policy Optimization
by: Yang, Shihui, et al.
Published: (2025)
by: Yang, Shihui, et al.
Published: (2025)
Adaptive-Boundary-Clipping GRPO: Ensuring Bounded Ratios for Stable and Generalizable Training
by: Liu, Chi, et al.
Published: (2026)
by: Liu, Chi, et al.
Published: (2026)
CoPE: Clipped RoPE as A Scalable Free Lunch for Long Context LLMs
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
ConfLayers: Adaptive Confidence-based Layer Skipping for Self-Speculative Decoding
by: Amer, Walaa, et al.
Published: (2026)
by: Amer, Walaa, et al.
Published: (2026)
Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection
by: Li, Bangzheng, et al.
Published: (2025)
by: Li, Bangzheng, et al.
Published: (2025)
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
by: Yoon, Hee Suk, et al.
Published: (2025)
by: Yoon, Hee Suk, et al.
Published: (2025)
Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
by: Mao, Hanyi, et al.
Published: (2025)
by: Mao, Hanyi, et al.
Published: (2025)
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
by: Su, Zhenpeng, et al.
Published: (2025)
by: Su, Zhenpeng, et al.
Published: (2025)
Reward Is Enough: LLMs Are In-Context Reinforcement Learners
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions
by: Marshall, Noah, et al.
Published: (2024)
by: Marshall, Noah, et al.
Published: (2024)
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)
by: Ma, Zhengzhao, et al.
Published: (2026)
Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)
by: Elgabry, Menna, et al.
Published: (2025)
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
by: Huang, Nai-Chieh, et al.
Published: (2023)
by: Huang, Nai-Chieh, et al.
Published: (2023)
Process Reinforcement through Implicit Rewards
by: Cui, Ganqu, et al.
Published: (2025)
by: Cui, Ganqu, et al.
Published: (2025)
Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models
by: Park, Jaesung R., et al.
Published: (2025)
by: Park, Jaesung R., et al.
Published: (2025)
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)
by: Bai, Yang, et al.
Published: (2026)
Generalisation of RLHF under Reward Shift and Clipped KL Regularisation
by: Tang, Kenton, et al.
Published: (2026)
by: Tang, Kenton, et al.
Published: (2026)
Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
by: Lu, Yining, et al.
Published: (2025)
by: Lu, Yining, et al.
Published: (2025)
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)
by: Zhang, Kaiyi, et al.
Published: (2026)
Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization
by: Li, Chenliang, et al.
Published: (2025)
by: Li, Chenliang, et al.
Published: (2025)
CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
by: Adila, Dyah, et al.
Published: (2025)
by: Adila, Dyah, et al.
Published: (2025)
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)
by: Xie, Tianbao, et al.
Published: (2023)
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
by: Hu, Chenzhi, et al.
Published: (2026)
by: Hu, Chenzhi, et al.
Published: (2026)
Multicalibration for Confidence Scoring in LLMs
by: Detommaso, Gianluca, et al.
Published: (2024)
by: Detommaso, Gianluca, et al.
Published: (2024)
Optimized Gradient Clipping for Noisy Label Learning
by: Ye, Xichen, et al.
Published: (2024)
by: Ye, Xichen, et al.
Published: (2024)
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
by: Zhang, Shun, et al.
Published: (2024)
by: Zhang, Shun, et al.
Published: (2024)
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)
by: Tang, Xinyu, et al.
Published: (2025)
Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
by: Su, Zeli, et al.
Published: (2026)
by: Su, Zeli, et al.
Published: (2026)
Feature Clipping for Uncertainty Calibration
by: Tao, Linwei, et al.
Published: (2024)
by: Tao, Linwei, et al.
Published: (2024)
Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
by: Li, Zichao, et al.
Published: (2026)
by: Li, Zichao, et al.
Published: (2026)
Similar Items
-
SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025) -
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
by: Chen, Peter, et al.
Published: (2025) -
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
by: Xi, Zhiheng, et al.
Published: (2025) -
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025) -
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025)