Zitong Chao — accepted AI-conference papers

2025

Can LLMs Solve Longer Math Word Problems Better?

Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

ICLR 2025poster

Math Word Problems (MWPs) play a vital role in assessing the capabilities of Large Language Models (LLMs), yet current research primarily focuses on questions with concise contexts. The impact of longer contexts on mathematical reasoning remains under-explored. This study pioneers the investigation…

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2025

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models

Xin Xu, Jiaxin ZHANG, Tianhao Chen, Zitong Chao, Jishan Hu, Can Yang

ICLR 2025poster

Large Language Models (LLMs) have made significant strides in mathematical reasoning, underscoring the need for a comprehensive and fair evaluation of their capabilities. However, existing benchmarks often fall short, either lacking extensive coverage of undergraduate-level mathematical problems or…

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