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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