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Bin Liu

Bin Liu has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Vision & language; often with Kai Chen, Kai Zou, Kuikun Liu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10885

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

🏛️Chinese Academy of SciencesBeijing · China2026 · 2 paperscurrent🔬Institute of AutomationBeijing · China2026 · 2 paperscurrent🎓University of Science and Technology of ChinaHefei · China2026 · 2 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent

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

 Fields, topics and concepts

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

📚 Shelves 6The 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 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark (2026 · 3 citations)
    Unified multimodal models are meant to both interpret and produce images. Existing benchmarks, however, mostly test these two skills separately, or only check loose links between them such as content association or consistency. Uni-MMMU fills this gap with eight reasoning-heavy tasks where one ability logically…
  2. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration (2026)
    Benchmarks for LLM search agents tend to focus on open-web, general-domain lookup or on closed-book science questions.

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. Uni-MMMU: A Massive Multi-discipline Multimodal Unified BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Zou, Ziqi Huang, Yuhao Dong, et al.2026 · 3 citations
  2. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationFindings of the Association for Computational LinguisticsYinhao Tang, Youqing Fang, Yanan Sun, et al.2026
  3. CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetFengyu Zhang et al.2026

 Co-authors here

8 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 2 times (of the 149,439 papers whose bibliographies we read).

Updated

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