When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR
Fuente:
arXiv
Saved in:
| Main Authors: | Miao, Yuchun, Zhang, Sen, Zhang, Yuqi, Shi, Yaorui, Gu, Qi, Cai, Xunliang, Zhang, Lefei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
by: Miao, Yuchun, et al.
Published: (2024)
by: Miao, Yuchun, et al.
Published: (2024)
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
by: Miao, Yuchun, et al.
Published: (2025)
by: Miao, Yuchun, et al.
Published: (2025)
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
by: Sheng, Leheng, et al.
Published: (2026)
by: Sheng, Leheng, et al.
Published: (2026)
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
by: Shi, Yaorui, et al.
Published: (2026)
by: Shi, Yaorui, et al.
Published: (2026)
On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR
by: Ye, Hao, et al.
Published: (2026)
by: Ye, Hao, et al.
Published: (2026)
MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning
by: Fu, Xiaoliang, et al.
Published: (2026)
by: Fu, Xiaoliang, et al.
Published: (2026)
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
by: Kong, Deyang, et al.
Published: (2025)
by: Kong, Deyang, et al.
Published: (2025)
RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
by: Mao, Yixiu, et al.
Published: (2026)
by: Mao, Yixiu, et al.
Published: (2026)
Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective
by: Chen, Kun, et al.
Published: (2026)
by: Chen, Kun, et al.
Published: (2026)
BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling
by: Wan, Guangya, et al.
Published: (2025)
by: Wan, Guangya, et al.
Published: (2025)
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
by: Zhang, Jiaying, et al.
Published: (2026)
by: Zhang, Jiaying, et al.
Published: (2026)
Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR
by: Gu, Hengrui, et al.
Published: (2026)
by: Gu, Hengrui, et al.
Published: (2026)
VL Norm: Rethink Loss Aggregation in RLVR
by: He, Zhiyuan, et al.
Published: (2025)
by: He, Zhiyuan, et al.
Published: (2025)
Lotus: Efficient LLM Training by Randomized Low-Rank Gradient Projection with Adaptive Subspace Switching
by: Miao, Tianhao, et al.
Published: (2026)
by: Miao, Tianhao, et al.
Published: (2026)
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026)
by: Duo, Jiangshan, et al.
Published: (2026)
Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
by: Zhang, Xiaoyun, et al.
Published: (2025)
by: Zhang, Xiaoyun, et al.
Published: (2025)
Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR
by: Mou, Chaoli, et al.
Published: (2026)
by: Mou, Chaoli, et al.
Published: (2026)
Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
by: Wu, Junkang, et al.
Published: (2025)
by: Wu, Junkang, et al.
Published: (2025)
Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
by: Qiu, Zhongxi, et al.
Published: (2025)
by: Qiu, Zhongxi, et al.
Published: (2025)
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
by: Ding, Yiwen, et al.
Published: (2024)
by: Ding, Yiwen, et al.
Published: (2024)
RL in the Wild: Characterizing RLVR Training in LLM Deployment
by: Zhou, Jiecheng, et al.
Published: (2025)
by: Zhou, Jiecheng, et al.
Published: (2025)
Beyond Importance Sampling: Rejection-Gated Policy Optimization
by: Sun, Ziwu, et al.
Published: (2026)
by: Sun, Ziwu, et al.
Published: (2026)
Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
by: Bounhar, Abdelaziz, et al.
Published: (2025)
by: Bounhar, Abdelaziz, et al.
Published: (2025)
IRDS: Interpretable RLVR Data Selection via Verifier-Coupled Sparse Autoencoder Coverage
by: Li, Yuhan, et al.
Published: (2026)
by: Li, Yuhan, et al.
Published: (2026)
Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking
by: Miao, Yuchun, et al.
Published: (2025)
by: Miao, Yuchun, et al.
Published: (2025)
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism
by: He, Jianing, et al.
Published: (2024)
by: He, Jianing, et al.
Published: (2024)
The Path Not Taken: RLVR Provably Learns Off the Principals
by: Zhu, Hanqing, et al.
Published: (2025)
by: Zhu, Hanqing, et al.
Published: (2025)
Language-Enhanced Representation Learning for Single-Cell Transcriptomics
by: Shi, Yaorui, et al.
Published: (2025)
by: Shi, Yaorui, et al.
Published: (2025)
Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR
by: Ingle, Yash, et al.
Published: (2026)
by: Ingle, Yash, et al.
Published: (2026)
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
by: Queeney, James, et al.
Published: (2022)
by: Queeney, James, et al.
Published: (2022)
Reasoning-Enhanced Large Language Models for Molecular Property Prediction
by: Zhuang, Jiaxi, et al.
Published: (2025)
by: Zhuang, Jiaxi, et al.
Published: (2025)
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
by: Huang, Yihong, et al.
Published: (2024)
by: Huang, Yihong, et al.
Published: (2024)
Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
by: Qu, Yun, et al.
Published: (2026)
by: Qu, Yun, et al.
Published: (2026)
Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training
by: Wang, Wenshuo, et al.
Published: (2026)
by: Wang, Wenshuo, et al.
Published: (2026)
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
by: Yao, Zhiyuan, et al.
Published: (2026)
by: Yao, Zhiyuan, et al.
Published: (2026)
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
by: Alinejad, Mahyar, et al.
Published: (2026)
by: Alinejad, Mahyar, et al.
Published: (2026)
Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing
by: Pang, Yujuan, et al.
Published: (2026)
by: Pang, Yujuan, et al.
Published: (2026)
$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts
by: Zhang, Yi-Kai, et al.
Published: (2026)
by: Zhang, Yi-Kai, et al.
Published: (2026)
When Does Learning Renormalize? Sufficient Conditions for Power Law Spectral Dynamics
by: Zhang, Yizhou
Published: (2025)
by: Zhang, Yizhou
Published: (2025)
Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
by: Zhang, Zuyuan, et al.
Published: (2026)
by: Zhang, Zuyuan, et al.
Published: (2026)
Similar Items
-
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
by: Miao, Yuchun, et al.
Published: (2024) -
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
by: Miao, Yuchun, et al.
Published: (2025) -
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
by: Sheng, Leheng, et al.
Published: (2026) -
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
by: Shi, Yaorui, et al.
Published: (2026) -
On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR
by: Ye, Hao, et al.
Published: (2026)