Qingyun Wu
Qingyun Wu has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Jiale Liu, Yiran Wu, Shaokun Zhang.
OpenAlex · ORCID · h-index 37 · 177 works · 5,500 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 445 times in our library · ⭐ Paper Stars ranking: #3295
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 1 workVision & language · 1 work
Works by year
2020s
Papers
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (2023 · 606 citations)
Building LLM applications that coordinate several capabilities (reasoning, tools, people) usually means writing custom glue code for each workflow. - StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows (2024 · 25 citations)
Common agent prompting schemes such as ReAct use one long instruction and expect the LLM to work out, at each step, where it is in a multi-step task. - SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement (2025 · 16 citations)
SimpleDoc targets Document Visual Question Answering (DocVQA), where answers depend on long, multi-page documents mixing text, tables, charts and images. - Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs (2026 · 2 citations)
The paper asks how vision-language models handle a conflict between what an image shows and what accompanying text claims. - TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems (2026)
Many team decisions have no single right answer, and the usual way of using LLMs here, merging everyone's input in one pass, tends to blur conflicts and silence minority opinions.
Co-authors here
- Jiale Liu ×4
- Yiran Wu ×3
- Shaokun Zhang ×2
- Ahmed Hassan Awadallah
- Beibin Li
- Chi Wang
- Chi Zhang
- Gagan Bansal
- Haoliang Wang
- Huazheng Wang
- Jieyu Zhang
- Lin Ai
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
Cited by
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