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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Internships

  • May 2023 - Sep. 2023,   ByteDance AI Lab
    Mentor: Haoran Huang. One paper at NeurIPS 2024 Dataset and Benchmark Track

  • May 2022 - Aug. 2022,   IBM Research
    Mentor: Alfio Glozzio. One paper at ACL 2023 Findings

  • Jun. 2020 - Jul. 2021,   Bytedance AI Lab
    Mentor: Hang Li. One paper at ACL 2022

  • Oct. 2019 - Jul. 2020,   Microsoft Research Asia
    Mentor: Tao Qin. One paper at ICML 2021

Preprints
New!   VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
Xueqing Wu*, Yuheng Ding*, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng
Arxiv 2412   [ Paper | Project | Code | Data ]
Selected Publications   (Full publications: here)
New!   VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang
EMNLP 2024 Findings   [ Paper | Project | Code | Model and data ]
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 ]
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 ]
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 ]
Retrieval-Based Transformer for Table Augmentation
Michael Glass, Xueqing Wu, Ankita Rajaram Naik, Gaetano Rossiello, Alfio Gliozzo
ACL 2023 Findings   [ Paper | Code ]
Cross-document Misinformation Detection based on Event Graph Reasoning
Xueqing Wu, Kung-Hsiang Huang, Yi Fung, Heng Ji
NAACL 2022   [ Paper | Code ]
Text-to-Table: A New Way of Information Extraction
Xueqing Wu, Jiacheng Zhang, Hang Li
ACL 2022   [ Paper | Code ]
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 ]
Academic Services

  • Reviewer: SoCalNLP 2023, NAACL 2024, ACL 2024, NLPCC 2024, EMNLP 2024, EMNLP 2024 demo track

Teaching

  • Teaching Assistant, UCLA CS 97, Introduction to Generative AI, Summer 2024, with Prof. Nanyun Peng

  • Teaching Assistant, UIUC CS 173, Discrete Structures, Fall 2021, with Prof. Benjamin Cosman

Awards

  • Graduate Dean's Scholar Award, UCLA, Sep. 2023

  • Siebel Scholar, UIUC, Sep. 2022

  • Guo Moruo Scholarship, USTC, Oct. 2019


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