Xueqing Wu
(Xueqing is pronounced as Shweh-Ching)

I am a fourth-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 Meta, 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

  • Mar. 2026 - Sep. 2026,   Google
    Mentor: Jinsong Yoon. One preprint

  • Jun. 2025 - Sep. 2025,   Meta
    Mentor: Yeming Wen. One paper at CoLM 2026

  • 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!   VIS-Ground: Video Interactive Storytelling with Contextual Grounding
Bingxuan Li, Yiwen Song, Xueqing Wu, Yanzhou Pan, Yang Li, Kuang Su, Jingyun Liu, Sebastian Ko, Huan Zhang, Tong Zhang, Nanyun Peng, Tomas Pfister, Yale Song
Arxiv 2610   [ Paper | Project ]
New!   Planned Test-Time Scaling with Coordinated Reasoning Paths
Xueqing Wu*, Langxing Bai*, Hritik Bansal, Po-Nien Kung, Shuo Li, Hao Liu, Nanyun Peng, Kai-Wei Chang
Arxiv 2609   [ Paper | Code ]
New!   PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback
Xueqing Wu, Ashwin Balasubramanian, Bingxuan Li, Dawei Zhu, Kai-Wei Chang, Yale Song, Yiwen Song, Rui Meng, Tomas Pfister, Nanyun Peng
Arxiv 2608   [ Paper | Project | Code | Data ]
New!   On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
Xueqing Wu, Yu-Chi Lin, Kai-Wei Chang, Nanyun Peng
Arxiv 2605   [ Paper | Project | Code | Data ]
Selected Publications   (Full publications: here)
FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback
Xueqing Wu, Zihan Xue, Da Yin, Shuyan Zhou, Kai-Wei Chang, Nanyun Peng, Yeming Wen
CoLM 2026   [ Paper | Project | Code | Data ]
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Yiming Wang, Da Yin, Yuedong Cui, Ruichen Zheng, Zhiqian Li, Zongyu Lin, Di Wu, Xueqing Wu, Chenchen Ye, Yu Zhou, Kai-Wei Chang
SEA Workshop at NeurIPS 2025   [ Paper | Project | Code | Model and Data ]
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
CVPR 2025   [ Paper | Project | Code | Data ]
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 ]
Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng
EMNLP 2024   [ Paper | Code ]
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 D&B 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, etc

Awards

  • Amazon PhD Fellowship, UCLA, Sep. 2025

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

  • Siebel Scholar, UIUC, Sep. 2022

  • Guo Moruo Scholarship, USTC, Oct. 2019

Teaching

  • Teaching Assistant, UCLA CS 263, Natural Language Processing, Fall 2024 & Spring 2025, with Prof. Nanyun Peng

  • Teaching Assistant, UCLA CS 31, Introduction to Computer Science I, Winter 2025, with Prof. Bruce Huang

  • 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


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