Author

Rui Jin

h-index 0 View on Semantic Scholar

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Aug 2026

Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning

Reinforcement learning has advanced large language models on tasks with reliable verifiers, where checking an outcome provides a clear basis for reward. Extending this approach to open-ended tasks requires environments that can both evaluate complex, partially successful outputs and turn these judgments into effective...

Rui Jin, Jikai Chen, Cheng-Yue Yu et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Rubric-to-Code Credit Assignment for Reinforcement Learning

A reinforcement learning framework that converts rubric-level functional feedback into localized optimization signals over generated code and aligns evaluator-generated textual attributions with responsible code spans and generated tokens is proposed.

Rui Jin, Jikai Chen, Yihang Chen et al. · 0 citations