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Jin Zhang

Jin Zhang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Hang Yan, Libo Qin, Lin Li.

3 papers in our library · 2024–2026

OpenAlex · h-index 6 · 13 works · 435 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 32 times in our library · ⭐ Paper Stars ranking: #7642

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

🎓Harbin Institute of TechnologyHarbin · China2024 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2006–2010 · 6 papers🔬Institute of Geology and GeophysicsBeijing · China2006–2010 · 6 papers🔬State Key Laboratory of Lithospheric EvolutionBeijing2006–2010 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 workVision & language · 1 workLanguage models & pretraining · 2 works

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. M³CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought (2024 · 54 citations)
    Existing multi-modal Chain-of-Thought (MCoT) benchmarks, especially ScienceQA, make progress look larger than it is.
  2. ICT-NLP at SemEval-2026 Task 1: Humor Generation via RAG-based Augmentation and Multi-LLM Internal-External Voting (2026 · 1 citation)
    This system paper describes the ICT-NLP entry submitted to SemEval-2026 Task 1 (Humor Generation), competing in Subtask A's Chinese track.
  3. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? (2024 · 1 citation)
    LLMs often score well on human-designed benchmarks, but it is unclear whether those scores reflect real, human-like ability or are inflated by data leakage and narrow test coverage.

 Co-authors here

12 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 32 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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