Cover Image

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Xinyu, Zhang, Zhenduo, Liu, Yurou, Zhao, Wayne Xin, Wen, Zujie, Zhang, Zhiqiang, Zhou, Jun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
by: Tang, Xinyu, et al.
Published: (2025)

When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards
by: Fan, Mingyuan, et al.
Published: (2026)

Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
by: Wang, Xiaolei, et al.
Published: (2024)

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)

DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
by: Huang, Guanhua, et al.
Published: (2025)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
by: Stojanovski, Zafir, et al.
Published: (2025)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
by: Wang, Li, et al.
Published: (2026)

Enhancing Cross-task Transfer of Large Language Models via Activation Steering
by: Tang, Xinyu, et al.
Published: (2025)

Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
by: Ackermann, Johannes, et al.
Published: (2026)

Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
by: Wang, Zhen, et al.
Published: (2025)

Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
by: Yang, Chenghao, et al.
Published: (2025)

Training Data Efficiency in Multimodal Process Reward Models
by: Li, Jinyuan, et al.
Published: (2026)

Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
by: Rad, Ali, et al.
Published: (2026)

Silence the Judge: Reinforcement Learning with Self-Verifier via Latent Geometric Clustering
by: Zhang, Nonghai, et al.
Published: (2026)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)

Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
by: Su, Zeli, et al.
Published: (2026)

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
by: Liu, Wei, et al.
Published: (2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
by: Tian, Changxin, et al.
Published: (2025)

Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)

A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
by: Wachi, Akifumi, et al.
Published: (2026)

Reinforcing General Reasoning without Verifiers
by: Zhou, Xiangxin, et al.
Published: (2025)

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)

Annotation-Free Reinforcement Learning Query Rewriting via Verifiable Search Reward
by: Cha, Sungguk, et al.
Published: (2025)

Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
by: Jiayang, Cheng, et al.
Published: (2026)

Beyond Verifiable Rewards: Scaling Reinforcement Learning for Language Models to Unverifiable Data
by: Tang, Yunhao, et al.
Published: (2025)

Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
by: Wang, Jingwei, et al.
Published: (2025)

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
by: Cao, Chengtai, et al.
Published: (2022)

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
by: Zeng, Zhiyuan, et al.
Published: (2025)

ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
by: Zhang, Bonan, et al.
Published: (2025)

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
by: Zhang, Feng, et al.
Published: (2026)

VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
by: Qi, Jianing, et al.
Published: (2024)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
by: Wu, Mingqi, et al.
Published: (2025)