--- title: "Yichen Li — author profile and papers — Elamur Research" description: "Yichen Li, ByteDance: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yichen-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yichen-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yichen Li # Yichen Li Yichen Li has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/), [Shiyan Liu](https://md.research.elamur.ai/free/en/authors/shiyan-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139743421) · [**h-index 0**](https://openalex.org/authors/A5139743421) · [3 works](https://openalex.org/works?filter=author.id:A5139743421) · [0 citations](https://openalex.org/works?filter=author.id:A5139743421&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yichen-li/#papers) · [⭐ Paper Stars ranking: #14048](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14048) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yichen+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yichen+Li) · [dblp](https://dblp.org/search?q=Yichen+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yichen+Li) ## Affiliations [🏢**ByteDance** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yichen-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Test-Time Training for Zero-Resource Dense Retrieval Reranking](https://md.research.elamur.ai/free/en/papers/liu-2026-test-time-training-zero-resource/)** *(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](https://md.research.elamur.ai/free/en/papers/yi-2026-umpire-unveiling-llm-generated-posts/)** *(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. - [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) - [Shiyan Liu](https://md.research.elamur.ai/free/en/authors/shiyan-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/): [Workshop on Towards Knowledgeable Foundation Models 2026](https://md.research.elamur.ai/free/en/venues/knowfm/2026/) Updated 2 November 2026