Erhan Xu

2 accepted papers

2026

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

Hongyi Zhou, Jin Zhu, Erhan Xu, Kai Ye, Ying Yang, Chengchun Shi

ICLR 2026poster

Modern large language models (LLMs) such as GPT, Claude, and Gemini have transformed the way we learn, work, and communicate. Yet, their ability to produce highly human-like text raises serious concerns about misinformation and academic integrity, making it an urgent need for reliable algorithms to…

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2025

Doubly Robust Alignment for Large Language Models

Erhan Xu, Kai Ye, Hongyi Zhou, Luhan Zhu, Francesco Quinzan, Chengchun Shi

NeurIPS 2025poster

This paper studies reinforcement learning from human feedback (RLHF) for aligning large language models with human preferences. While RLHF has demonstrated promising results, many algorithms are highly sensitive to misspecifications in the underlying preference model (e.g., the Bradley-Terry model),…

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