Author

Sheng Zhang

h-index 5 View on Semantic Scholar

We have 2 of 7 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.

#artificial intelligence Preprint Oct 2026

Recursive Reward Improvement via Adversarial Meta-Prompt Evolution

Recursive Self-Improvement (RSI) has gained wide attention for its ability to work with limited data. In a proposer-solver loop, a proposer model writes training tasks and a solver model learns to solve them through reinforcement learning. Such loops have succeeded in mathematics and coding, where every answer can be c...

Wei Dai, Qian-Chu Liu, Guang-Hui Qin et al. · 1 citation

#artificial intelligence Sep 2026

Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models

This work proposes a reinforcement learning (RL) fine-tuning framework that treats EHR foundation models as generative policies over patient trajectories, and finds that RL fine-tuning consistently improves over pre-trained backbones and strong baselines.

Yu-Xin Xiao, Sheng Zhang, C. Singh et al. · arXiv.org · 0 citations