Hi! I’m Weiqi (Vicky) Wu, a CS Master’s student at the School of Computer Science, Shanghai Jiao Tong University, advised by Prof. Hai Zhao.

My research focuses on advancing Large Language Models and Agents, with particular expertise in Reasoning, RAG, Role-playing LLMs, and Knowledge Probing. Notably, my first paper received the ACL 2023 Outstanding Paper Award 🏆.

Currently, I am working at ByteDance Seed-LLM. Previously, I interned at ByteDance’s Data team as part of the JinDouYun talent program on personalized recommendations for the DouBao APP, and at Alibaba TongYi Lab focusing on open-domain RAG and Search Agents.

I have joined Linkedin recently and am eager to connect with researchers and developers working on the next generation of LLMs and Agents. 👉 Let’s connect !

Education

• M.E. in Computer Science and Technology, Shanghai Jiao Tong University, 2023.09-2026.03 
• B.E. in Computer Science and Technology, ShanghaiTech University, 2019.09-2023.06

Publications

2025

• Weiqi Wu*, Xin Guan*, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Jiuxin Cao, Hai Zhao, Jingren Zhou, “MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability”. [GitHub]
• [ACL 2025] Weiqi Wu, Hongqiu Wu, Hai Zhao, “X-Turing: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents”. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 2025.
• [NAACL 2025] Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao, “Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization”. In the Findings of the Association for Computational Linguistics: NAACL 2025. [GitHub]
• [ACL 2025] Hongqiu Wu, Weiqi Wu, Tianyang Xu, Jiameng Zhang, Hai Zhao, “Towards Enhanced Immersion and Agency for LLM-based Interactive Drama”. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 2025. [GitHub]
• [EMNLP 2025] Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao, “ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents”. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025. [GitHub]
• [EMNLP 2025 Demo] Tianyang Xu*, Hongqiu Wu*, Weiqi Wu, Hai Zhao. “Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama”

2024

• [ACL 2024] Weiqi Wu*, Hongqiu Wu*, Lai Jiang, Xingyuan Liu, Jiale Hong, Hai Zhao, Min Zhang, “From Role-Play to Drama-Interaction: An LLM Solution”. In the Findings of 62th Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, August 11-16, 2024. [GitHub]
• Hongqiu Wu, Zekai Xu, Tianyang Xu, Jiale Hong, Weiqi Wu, Hai Zhao, Min Zhang, Zhezhi He, “Scaling Virtual World with Delta-Engine”.

2023

• [ACL 2023] Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie and Kewei Tu, “Do PLMs Know and Understand Ontological Knowledge?”. In the 61th Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, July 9-14, 2023. (Outstanding Paper Award 🏆) [GitHub]
• [EMNLP 2023] Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, and Yi Zhou, “Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset”. In the Findings of 2023 Conference on Empirical Methods in Natural Language Processing, 2023.
• [EACL 2023] Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, and Kewei Tu, “COMBO: A Complete Benchmark for Open KG Canonicalization”. In the 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2–6, 2023.
• [EMNLP 2022] Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, and Kewei Tu, “Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field”. In the 2022 Conference on Empirical Methods in Natural Language Processing, December 7–11, 2022.

* Denotes Equal Contribution.

Awards

• ACL 2023 Outstanding Paper
• IndySCC (Student SuperComputing) 2022 Champion
• National Scholarship 2025
• Principal Award of ShanghaiTech University
• Second Prize of the Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM)
• BYD Scholarship 2024

Experience

• ByteDance Seed-LLM, Full-time, 2026.03 to present
• ByteDance, Intern, 2025.04 to 2026.03
• Alibaba Tongyi Lab, Intern, 2024.06 to 2025.04
• Microsoft Research Asia, Intern, 2021.07 to 2021.10

Miscellaneous

• Beyond academia, I am a member of the Jiangsu Writers’ Association. I have a long-standing interest in reading and writing prose poetry, with a particular appreciation for modern Chinese poetry. My favourite poets include Zhang Zao and Hai Zi.
• Although not being athletic, I am an avid follower of competitive sports like Formula 1. I support Red Bull Racing and Max Verstappen. That is, No Risk, Full Push!