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Yonghao Zhuang

Yonghao Zhuang has 2 papers in our library, in 2023, most of them on Language models & pretraining, Machine translation, Dialogue systems; often with Eric P. Xing, Joseph E. Gonzalez, Lianmin Zheng.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 7 · 19 works · 216 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3,602 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #681

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

🎓Carnegie Mellon UniversityPittsburgh · United States2022–2026 · 15 papersEmployment since 2022 · PhD studentcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 workEvaluation & benchmarks · 1 workMachine translation · 1 work

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

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena (2023 · 4,573 citations)
    Classical benchmarks such as MMLU or HELM do a poor job of showing whether people like the responses of chat assistants.
  2. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset (2023 · 242 citations)
    Research into how people use large language models has been held back by the lack of public logs of genuine user interactions.

All works

7 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. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  2. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning ↗OSDI 2022 · no summary yetLianmin Zheng et al.2022 · 279 citations
  3. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetarXiv:2309.11998Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 242 citations
  4. On Optimizing the Communication of Model Parallelism ↗arXiv (Cornell University) · no summary yetYonghao Zhuang et al.2022 · 21 citations
  5. LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch ↗arXiv (Cornell University) · no summary yetZhengzhong Liu et al.2025 · 3 citations
  6. Efficiently Scaling LLM Reasoning Programs with Certaindex ↗neural information processing systems · no summary yetYichao Fu et al.2025 · 2 citations
  7. Efficient Long-context Language Model Training by Core Attention Disaggregation ↗arXiv:2510.18121 · no summary yetYonghao Zhuang et al.2025 · 1 citation

 Co-authors here

12 of 13 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 3,602 times (of the 149,439 papers whose bibliographies we read); 726 citing papers with a page here →.

Updated

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