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Yi Gu

Yi Gu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Eric P. Xing, Jieping Ye, Kai Liu.

2 papers in our library · 2024–2026

OpenAlex · h-index 4 · 10 works · 53 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 107 times in our library · ⭐ Paper Stars ranking: #7765

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

🎓Shanghai University of Engineering ScienceShanghai · China2023–2024 · 2 paperscurrent🎓Zhejiang UniversityHangzhou · China2024 · 1 papercurrent🎓Fuzhou UniversityFuzhou · China2013–2014 · 2 papers🏢LearSouthfield · United States1999–2001 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection (2024 · 108 citations)
    Large language models sometimes give fluent but factually wrong answers. Detecting these hallucinations is a precondition for trusting deployed systems. Earlier detectors look either at token probabilities (perplexity, entropy) or at the decoded text, such as word overlap between sampled answers. Both approaches…
  2. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models (2026 · 1 citation)
    Ranking the fast-growing population of LLMs is hard. Fixed-answer benchmarks such as MMLU saturate. Human-voted leaderboards like Chatbot Arena are slow and expensive. Using one strong model (e.g., GPT-4) as judge introduces that model's own biases. The authors propose Decentralized Arena (De-Arena), where every…

 Co-authors here

10 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.

 Cited by

Papers of our library cite their works 107 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated

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