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Pan Lu

A Survey of Deep Learning for Mathematical Reasoning

Dec 20, 2022
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang

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* 24 pages, 2 figures, 8 tables. The repository is available at https://github.com/lupantech/dl4math

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Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Sep 29, 2022
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan

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* 24 pages, 18 figures, 8 tables. The data and code will be available at https://tabmwp.github.io

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Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Sep 20, 2022
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

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* Accepted to NeurIPS 2022. 21 pages, 17 figures, 9 tables

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ValueNet: A New Dataset for Human Value Driven Dialogue System

Dec 12, 2021
Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu

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* Paper accepted by AAAI 2022

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IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Nov 07, 2021
Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu

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* Accepted to NeurIPS 2021 Track on Datasets and Benchmarks, 27 pages, 18 figures, project available at https://iconqa.github.io

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