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Haoning Wu

Haoning Wu has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Vision & language, Language models & pretraining; often with Bei Chen, Dongxu Li, Ge Zhang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 6 · 31 works · 152 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 267 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6873

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

🎓Shanghai Jiao Tong UniversityShanghai · China2022–2026 · 12 papersEmploymentcurrent🎓Nanyang Technological UniversitySingapore · Singapore2025–2026 · 3 paperscurrent🎓National University of SingaporeSingapore · Singapore2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksVision & language · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding (2024 · 166 citations)
    Benchmarks for long-context models are mostly text-only. Existing video QA sets also suffer from single-frame bias: models score about the same whether they see a few frames or many. LongVideoBench addresses this with a multiple-choice benchmark of web-collected, subtitled videos lasting up to an hour, in which…
  2. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models (2026)
    Existing multimodal benchmarks mostly test facts within a single image. Earlier multi-image suites such as MuirBench and MIRB ask factual questions and do not probe the commonsense links between pictures or whether a model tracks their order. The authors introduce a multi-image relation association task and MMRA, a…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingConference on Neural Information Processing Systems (NeurIPS)Haoning Wu, Dongxu Li, Bei Chen, et al.2024 · 166 citations
  2. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language ModelsFindings of the Association for Computational LinguisticsSiwei Wu, King Zhu, Yu Bai, et al.2026
  3. PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning ↗Lecture notes in computer science · no summary yetShaoxuan Li et al.2026

 Co-authors here

12 of 14 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 267 times (of the 149,439 papers whose bibliographies we read); 62 citing papers with a page here →.

Updated

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