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Sang Michael Xie

Sang Michael Xie has 2 papers in our library, in 2021–2024, most of them on Language models & pretraining; often with Aditi Raghunathan, Alon Albalak, Bairu Hou.

2 papers in our library · 2021–2024

OpenAlex · ORCID · Wikidata · h-index 17 · 36 works · 5,569 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 1,239 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #3946

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

🎓Stanford UniversityStanford · United States2013–2026 · 17 papersEducation 2013–2017Education since 2018current

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 1 Language models & pretraining · 2 works

 Works by year

2020s

20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. An Explanation of In-context Learning as Implicit Bayesian Inference (2021 · 269 citations)
    The paper asks why large LMs such as GPT-3 can pick up a task from input-output examples in a prompt, even though they were never trained to learn from examples.
  2. A Survey on Data Selection for Language Models (2024 · 85 citations)
    Large language models depend on huge web-scale corpora, but using every available document is often wasteful or harmful because text quality varies widely.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. An Explanation of In-context Learning as Implicit Bayesian InferenceSang Michael Xie, Aditi Raghunathan, Percy Liang, et al.arXiv:2111.02080 · 269 citations
  2. A Survey on Data Selection for Language ModelsAlon Albalak, Yanai Elazar, Sang Michael Xie, et al.arXiv:2402.16827 · 85 citations
  3. Reward Design with Language Models (original ↗)Minae Kwon et al.2023 · arXiv:2303.00001 · 67 citations · no summary yet

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 1,239 times (of the 141,840 papers whose bibliographies we read); 142 citing papers with a page here →.

Updated

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