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Xueqing Wu
(Xueqing is pronounced as Shweh-Ching)
I am a second-year PhD student at UCLA, advised by Prof. Kai-Wei Chang and Prof. Nanyun Peng. Preivously, I received my master's degree from UIUC in 2023 advised by Prof. Heng Ji, and my bachelor's degree from USTC in 2020. I have work experience in IBM Research, Bytedance AI Lab and MSRA.
Research: My research interests focus on multi-modal reasoning, such as grounding, self-reflection, and reasoning enhanced by code generation.
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Google Scholar
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Internships
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May 2023 - Sep. 2023, ByteDance AI Lab
Mentor: Haoran Huang. One paper at NeurIPS 2024 Dataset and Benchmark Track
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May 2022 - Aug. 2022, IBM Research
Mentor: Alfio Glozzio. One paper at ACL 2023 Findings
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Jun. 2020 - Jul. 2021, Bytedance AI Lab
Mentor: Hang Li. One paper at ACL 2022
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Oct. 2019 - Jul. 2020, Microsoft Research Asia
Mentor: Tao Qin. One paper at ICML 2021
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Selected Publications (Full publications: here)
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New! VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
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New! Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng
EMNLP 2024 [ Paper | Code ]
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New! DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
Xueqing Wu, Rui Zheng, Te-Lin Wu, Hanyu Zhou, Tang Mohan, Kai-Wei Chang, Nanyun Peng, Haoran Huang
NeurIPS 2024 Dataset and Benchmark Track [ Paper | Project | Code and data ]
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Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng
ACL 2024 Findings [ Paper | Project | Code ]
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Retrieval-Based Transformer for Table Augmentation
Michael Glass, Xueqing Wu, Ankita Rajaram Naik, Gaetano Rossiello, Alfio Gliozzo
ACL 2023 Findings [ Paper | Code ]
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Cross-document Misinformation Detection based on Event Graph Reasoning
Xueqing Wu, Kung-Hsiang Huang, Yi Fung, Heng Ji
NAACL 2022 [ Paper | Code ]
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Text-to-Table: A New Way of Information Extraction
Xueqing Wu, Jiacheng Zhang, Hang Li
ACL 2022 [ Paper | Code ]
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Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu
ICML 2021 [ Paper | Code ]
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Academic Services
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Reviewer: SoCalNLP 2023, NAACL 2024, ACL 2024, NLPCC 2024, EMNLP 2024, EMNLP 2024 demo track
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Teaching
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Teaching Assistant, UCLA CS 97, Introduction to Generative AI, Summer 2024, with Prof. Nanyun Peng
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Teaching Assistant, UIUC CS 173, Discrete Structures, Fall 2021, with Prof. Benjamin Cosman
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Awards
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Graduate Dean's Scholar Award, UCLA, Sep. 2023
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Siebel Scholar, UIUC, Sep. 2022
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Guo Moruo Scholarship, USTC, Oct. 2019
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