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Shisen Yue

Shisen Yue has 2 papers in our library, in 2024–2026, most of them on Implicature, Language models & pretraining; often with Hai Hu, John Hale.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 3 · 9 works · 46 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 11 citations in our library · ⭐ Paper Star rank #4814

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

🎓Johns Hopkins UniversityBaltimore · United States2026 · 4 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2022–2024 · 4 papers

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

 Topics

 Implicature (1) Language models & pretraining (1)

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom (2024 · 11 citations)
    The authors test whether large language models (LLMs) understand conversational implicature, that is, the indirect, non-literal meaning of an utterance, in Chinese.
  2. A Transparent Model of Syntactic and Semantic Cue-based Retrieval (2026)
    When readers link a verb to its subject, they struggle more if another noun in the sentence resembles the true subject. Cue-based retrieval theory explains this interference. Recent work has instead used Transformer attention heads to model it, but those signals are hard to tie to specific linguistic operations.

 Co-authors here

2 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 11 times (of the 140,884 papers whose bibliographies we read); 3 citing papers with a page here →.

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