Author

Liner Xiang

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#artificial intelligence Preprint Sep 2026

OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models

Reliable evaluation of large language models (LLMs) is essential for their development and deployment, yet is often costly, risky, and difficult to perform safely online. We study off-policy evaluation for LLMs, where limited human-labeled data from a behavior model are used to evaluate a newer target LLM. This setting...

Lin-Er Xiang, Wen-Bo Zhang, Heng-Rui Cai · 0 citations

#machine learning Preprint Aug 2026

Policy Optimization and Statistical Inference for Online Contextual Matrix Games

This work introduces online contextual matrix games and proposes OnGameLearn, an online learning algorithm that efficiently balances exploration and exploitation across both player actions and contexts and effectively navigates the intertwined challenges of strategic and contextual decision-making.

Liner Xiang, Yixin Wang, Hengrui Cai · 0 citations