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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.

5 papers in our library · 2023–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

12 of 15 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 445 times (of the 149,439 papers whose bibliographies we read); 78 citing papers with a page here →.

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