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Yichen Li

Yichen Li has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information retrieval & search; often with Rui Zhang, Shiyan Liu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #14048

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

🏢ByteDanceBeijing · China2026 · 1 papercurrent🎓Huazhong University of Science and TechnologyWuhan · 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Test-Time Training for Zero-Resource Dense Retrieval Reranking (2026)
    The paper addresses reranking for dense retrieval when the target domain has no relevance labels. Cross-encoders need supervised training and add hundreds of milliseconds per query. BM25 is often unavailable in vector-database-only deployments. The authors propose DART (Dense Adaptive Reranking at Test-time), a…
  2. UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions (2026)
    Social media is increasingly full of image–text posts written by large (multimodal) language models. Detectors that rely on text statistics or visual artifacts tend to fail on short captions, paraphrased text and compressed images. UMPIRE builds on a behavioral observation: people treat the attached picture as given…

 Co-authors here

2 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.

Updated

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