Yu Fei
Yu Fei has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Antoine Bosselut, Sameer Singh, Yasaman Razeghi.
OpenAlex · ORCID · h-index 9 · 55 works · 282 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 59 times in our library · ⭐ Paper Stars ranking: #7014
Affiliations
🎓Yunnan University of Finance And EconomicsKunming ·
China2010–2025 · 18 papers🎓Hebei University of TechnologyTianjin ·
China2011–2012 · 3 papers🎓University of California, IrvineIrvine ·
United States2023 · 2 papers
Fields, topics and concepts
📚 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 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Mitigating Label Biases for In-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. - Nudging: Inference-time Alignment of LLMs via Guided Decoding (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
Venues
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