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Banghua Zhu

Banghua Zhu has 2 papers in our library, in 2024, most of them on Evaluation & benchmarks, Language models & pretraining, Dialogue systems; often with Ion Gabriel Stoica, Joseph E. Gonzalez, Tianle Li.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 12 · 44 works · 509 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 822 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #2964

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 WashingtonSeattle · United States2026 · 1 paperEmployment · ECEcurrent🎓University of California, BerkeleyBerkeley · United States2018–2024 · 29 papersEducation since 2018 · Ph.D., EECS🎓Tsinghua UniversityBeijing · China2014–2018 · 3 papersEducation 2014–2018 · Bachelor, Electronic Engineering🎓University of Science and Technology BeijingBeijing · China2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksDialogue systems · 1 workLanguage models & pretraining · 1 work

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

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference (2024 · 546 citations)
    The authors show that conventional LLM benchmarks poorly reflect how models are actually used. These are fixed sets of closed-ended questions with reference answers: over time they leak into training data, become saturated, and do not account for human preferences in open-ended tasks. As an alternative, they propose…
  2. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline (2024 · 210 citations)
    Static LLM benchmarks saturate quickly, can leak into training data, and mostly test close-ended tasks. Expert-built sets are expensive: GPQA's 500 questions reportedly cost over $120,000. Live human evaluation such as Chatbot Arena is too slow for developers to use routinely. The authors present BenchBuilder, an…

All works

10 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. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  2. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations
  3. S-LoRA: Serving Thousands of Concurrent LoRA Adapters ↗MLSys 2024 · no summary yetYing Sheng et al.2023 · 80 citations
  4. Fairness in Serving Large Language Models ↗arXiv (Cornell University) · no summary yetYing Sheng et al.2023 · 62 citations
  5. Generalized resilience and robust statistics ↗The Annals of Statistics · no summary yetBanghua Zhu, Jiantao Jiao, Jacob Steinhardt2019 · 34 citations
  6. How to Evaluate Reward Models for RLHF ↗arXiv:2410.14872 · no summary yetEvan Frick et al.2024 · 31 citations
  7. Robust estimation via generalized quasi-gradients ↗Information and Inference A Journal of the IMA · no summary yetBanghua Zhu, Jiantao Jiao, Jacob Steinhardt2021 · 22 citations
  8. When does the Tukey Median work? ↗IEEE International Symposium on Information Theory (ISIT) · no summary yetBanghua Zhu, Jiantao Jiao, Jacob Steinhardt2020 · 16 citations
  9. On Optimal Caching and Model Multiplexing for Large Model Inference ↗arXiv (Cornell University) · no summary yetBanghua Zhu et al.2023 · 5 citations
  10. Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees ↗arXiv (Cornell University) · no summary yetBanghua Zhu et al.2022 · 1 citation

 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 822 times (of the 149,439 papers whose bibliographies we read); 163 citing papers with a page here →.

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