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Wangyi Jiang

Wangyi Jiang has 2 papers in our library, in 2020–2025, most of them on Information extraction, Reasoning, Efficient models & compression; often with Hongyu Lin, Jie Zhou, Juanzi Li.

2 papers in our library · 2020–2025

OpenAlex · h-index 2 · 3 works · 150 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 119 times in our library · ⭐ Paper Stars ranking: #5194

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 · 1 papercurrent🔬Institute of SoftwareBeijing · China2026 · 1 papercurrent🎓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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workEfficient models & compression · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MAVEN: A Massive General Domain Event Detection Dataset (2020 · 261 citations)
    Event detection (ED) means finding the trigger words that signal events and assigning each an event type. Its standard benchmarks are small and narrow. ACE 2005 has only 599 documents and 33 subtypes, and most of those subtypes have very few examples. That is too little to train or reliably compare modern neural…
  2. Teach Small Models to Reason by Curriculum Distillation (2025 · 5 citations)
    The paper asks why small LLMs gain little when distilled directly from strong Large Reasoning Models (LRMs).

 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 119 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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