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Shilin Zhou

Shilin Zhou has 2 papers in our library, in 2021–2026, most of them on Semantic role labeling, Language models & pretraining, Speech & spoken language; often with Zhenghua Li, Chen Gong, Min Zhang.

2 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 16 · 97 works · 876 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #11638

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

🎓National University of Defense TechnologyChangsha · China2009–2026 · 64 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2026 · 1 papercurrent🎓Soochow UniversitySuzhou · China2021–2025 · 6 papers🎓University of Shanghai for Science and TechnologyShanghai · China2016–2017 · 4 papers🎓Dalian Polytechnic UniversityDalian · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 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 4Research subjects and languages the work is about.Semantic role labeling · 1 workLanguage models & pretraining · 1 workReasoning · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing (2021 · 14 citations)
    Span-based semantic role labeling (SRL) identifies predicates and the multi-word argument spans attached to them.
  2. Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models (2026)
    Large Audio Language Models (LALMs) that use chain-of-thought tend to apply the same reasoning depth to every question.

 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 9 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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