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Jinming Wu

Jinming Wu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Vision & language; often with Bo Li, Wei Li, Zejun Ma.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 38 · 957 works · 5,082 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 192 times in our library · ⭐ Paper Stars ranking: #7345

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. 309 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. LLaVA-Video: Video Instruction Tuning With Synthetic Data (2024 · 119 citations)
    Video LMMs lag behind image models largely because good video instruction data is scarce. Existing synthetic sets rely on short, mostly static clips and annotate only a few frames, which loses fine-grained motion and encourages hallucination. The authors build LLaVA-Video-178K, a GPT-4o-assisted dataset with human…
  2. MMSearch-R1: Incentivizing LMMs to Search (2026 · 16 citations)
    Large multimodal models (LMMs) often fail on visual questions that need long-tail or recent facts. Existing fixes have drawbacks. RAG pipelines retrieve for every query from a fixed corpus, and prompt-based search agents never learn tool use through training. MMSearch-R1 addresses this with an end-to-end…

 Co-authors here

7 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 192 times (of the 149,439 papers whose bibliographies we read); 57 citing papers with a page here →.

Updated

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