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Yupeng Hou

Yupeng Hou has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Kun Zhou, Beichen Zhang, Jingbo Shang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 20 · 61 works · 4,485 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,411 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1106

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

🎓University of California San DiegoSan Diego · United States2023–2026 · 28 papersEducation since 2023 · Ph.D., Computer Science & Engineeringcurrent🎓Renmin University of ChinaBeijing · China2016–2026 · 18 papersEducation 2016–2020 · B.E., School of InformationEducation 2020–2023 · M.E., Gaoling School of Artificial Intelligencecurrent🤝The Princeton FestivalPrinceton · United States2026 · 1 papercurrent🎓University of Science and Technology BeijingBeijing · China2023–2025 · 4 papers🎓Hebei University of TechnologyTianjin · China2022 · 2 papers

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.

 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).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

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

💡 Concepts 2Key ideas and methods explained on our concept pages.Language model · 1 workLarge language models · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Large Language Models (2023 · 2,875 citations)
    The survey addresses a gap in the literature. Pre-trained language models (PLMs) had been reviewed many times, but large language models (LLMs) had not. The authors define LLMs as PLMs with tens or hundreds of billions of parameters. They trace language modeling through four generations: statistical n-gram models…
  2. Deriving Character Logic from Storyline as Codified Decision Trees (2026)
    Role-playing (RP) agents built on LLMs usually rely on free-text character profiles. These profiles are hard to verify, cannot be executed, and tend to mix behaviors from different situations, so agents act inconsistently. The authors propose Codified Decision Trees (CDT), which learn a character's behavioral logic…

All works

4 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. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. Large Language Models are Zero-Shot Rankers for Recommender Systems ↗arXiv:2305.08845 · no summary yetYupeng Hou et al.2023 · 394 citations
  3. Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYupeng Hou et al.2026 · 52 citations
  4. Deriving Character Logic from Storyline as Codified Decision TreesAnnual Meeting of the Association for Computational Linguistics (ACL)Letian Peng, Kun Zhou, Longfei Yun, et al.2026

 Co-authors here

11 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 1,411 times (of the 149,439 papers whose bibliographies we read); 255 citing papers with a page here →.

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