IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. - Pan Lu; Liang Qiu 001; Jiaqi Chen; Tony Xia; Yizhou Zhao; Wei Zhang 056; Zhou Yu; Xiaodan Liang; Song-Chun Zhu (CoRR, 2021)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tony Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (CoRR, 2022)

TheoremQA: A Theorem-driven Question Answering Dataset. - Wenhu Chen; Ming Yin; Max Ku; Pan Lu; Yixin Wan; Xueguang Ma; Jianyu Xu; Xinyi Wang 003; Tony Xia (EMNLP, 2023)

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (CoRR, 2023)

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (ICLR, 2024)

Solving Inequality Proofs with Large Language Models. - Jiayi Sheng; Luna Lyu; Jikai Jin; Tony Xia; Alex Gu; James Zou; Pan Lu (CoRR, 2025)