--- title: "Yu Fei — author profile and papers — Elamur Research" description: "Yu Fei: 2 papers on Elamur Research (2023–2025), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yu-fei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-fei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yu Fei # Yu Fei Yu Fei has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/), [Sameer Singh](https://md.research.elamur.ai/free/en/authors/sameer-singh/), [Yasaman Razeghi](https://md.research.elamur.ai/free/en/authors/yasaman-razeghi/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5100331867) · [ORCID](https://orcid.org/0000-0001-8200-2998) · [**h-index 9**](https://openalex.org/authors/A5100331867) · [55 works](https://openalex.org/works?filter=author.id:A5100331867) · [282 citations](https://openalex.org/works?filter=author.id:A5100331867&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-fei/#papers) · [🔗 Cited 59 times in our library](https://md.research.elamur.ai/free/en/authors/yu-fei/cited-by/) · [⭐ Paper Stars ranking: #7014](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7014) 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=Yu+Fei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu+Fei) · [dblp](https://dblp.org/search?q=Yu+Fei) · [ACL Anthology](https://aclanthology.org/search/?q=Yu+Fei) ## Affiliations [🎓**Yunnan University of Finance And Economics** Kunming · China 2010–2025 · 18 papers](https://ror.org/04rhev598) · [🎓**Hebei University of Technology** Tianjin · China 2011–2012 · 3 papers](https://md.research.elamur.ai/free/en/universities/hebei-university-of-technology/) · [🎓**University of California, Irvine** Irvine · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 4 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/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-fei/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-fei/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Mitigating Label Biases for In-context Learning](https://md.research.elamur.ai/free/en/papers/fei-2023-mitigating-label-biases-context-learning/)** *(2023 · 80 citations)* In-context learning (ICL) with large language models is unstable: the prompt and the data can push a model toward certain label names whatever the input. 2. **[Nudging: Inference-time Alignment of LLMs via Guided Decoding](https://md.research.elamur.ai/free/en/papers/fei-2025-nudging-inference-time-alignment-llms/)** *(2025 · 8 citations)* Aligning every size of an LLM family through instruction tuning or RLHF is expensive. Earlier analyses suggest alignment mostly changes a small set of stylistic tokens. The authors build on this with NUDGING, a decoding procedure that requires no training. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/) - [Sameer Singh](https://md.research.elamur.ai/free/en/authors/sameer-singh/) - [Yasaman Razeghi](https://md.research.elamur.ai/free/en/authors/yasaman-razeghi/) - [Yifan Hou](https://md.research.elamur.ai/free/en/authors/yifan-hou/) - [Zeming Chen](https://md.research.elamur.ai/free/en/authors/zeming-chen/) ## 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/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) ## Cited by Papers of our library cite their works 59 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yu-fei/cited-by/). Updated 1 November 2026