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Matching papers

DataFlex-RL: An Evaluation Platform for RLVR Data Policies

109 upvotes · 5 SEP 2026 · Hao Liang, Mingrui Chen, Hengyi Feng et al.

This paper introduces DataFlex-RL, an evaluation platform for comparing different data policies in reinforcement learning with verifiable rewards (RLVR), and finds that uniform data policy leads to better performance and is more reproducible than other methods. Practitioners might care about this because it provides a way to compare different data policies and ensure that their RLVR models are performing well.

reinforcement learningverifiable rewardsdata policiesbenchmarkinghyperparameter tuning

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

69 upvotes · 26 JUL 2026 · Qinsi Wang, Jing Shi, Huazheng Wang et al.

This paper introduces a new method to improve large language models (LLMs) called RLSVR, which uses a task-transformation technique to generate self-verifiable rewards, enabling LLM self-improvement on open-ended tasks. Practitioners might care about this because it could lead to more reliable and scalable self-improvement methods for LLMs.

reinforcement learninglarge language modelstask transformationverifiable rewardsself-supervised learning