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Yudong Zhou

2 accepted papers

2026

Mathesis: Towards Formal Theorem Proving from Natural Languages

ICLR 2026poster

Recent advances in large language models (LLMs) show strong promise for formal reasoning. However, most LLM-based theorem provers remain constrained by the need for expert-written formal statements as inputs, limiting their applicability to real-world problems expressed in natural language. We addre…

Cited by 0SourcecodeScholar
2025

An Empirical Study of Position Bias in Modern Information Retrieval

EMNLP 2025

This study investigates the position bias in information retrieval, where models tend to overemphasize content at the beginning of passages while neglecting semantically relevant information that appears later. To analyze the extent and impact of position bias, we introduce a new evaluation framewor