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Yizhou Tian

2 accepted papers

2026

Hista and Numca: Estimate State Value Effectively for Large Language Model Reinforcement Learning

ICML 2026spotlight

Reinforcement Learning (RL) refines large language models (LLMs) by directly optimizing model behavior with reward signals. Although accurate state value estimation is essential for stable training in classical RL settings, it remains an understudied challenge in LLM post-training. In this work, we …

Cited by 0SourceScholar
2023

Learning Human-Compatible Representations for Case-Based Decision Support

ICLR 2023poster

Algorithmic case-based decision support provides examples to help human make sense of predicted labels and aid human in decision-making tasks. Despite the promising performance of supervised learning, representations learned by supervised models may not align well with human intuitions: what models…