---
title: "Banghua Zhu — author profile and papers — Elamur Research"
description: "Banghua Zhu, University of Washington: 3 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/banghua-zhu/"
---
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# Banghua Zhu

Banghua Zhu has 3 papers in our library, in 2023–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/), [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/), [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5031613608) · [ORCID](https://orcid.org/0000-0002-7320-3533) · [**h-index 12**](https://openalex.org/authors/A5031613608) · [44 works](https://openalex.org/works?filter=author.id:A5031613608) · [509 citations](https://openalex.org/works?filter=author.id:A5031613608&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/banghua-zhu/#papers) · [🔗 Cited 822 times in our library](https://md.research.elamur.ai/free/en/authors/banghua-zhu/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3058](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3058)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Banghua+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Banghua+Zhu) · [dblp](https://dblp.org/search?q=Banghua+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Banghua+Zhu)

## Affiliations

[🎓**University of Washington** Seattle · United States 2026 · 1 paperEmployment · ECE*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of California, Berkeley** Berkeley · United States 2018–2024 · 29 papersEducation since 2018 · Ph.D., EECS](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Tsinghua University** Beijing · China 2014–2018 · 3 papersEducation 2014–2018 · Bachelor, Electronic Engineering](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Science and Technology Beijing** Beijing · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Chatbots · 1 work](https://md.research.elamur.ai/free/en/concepts/chatbot/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/banghua-zhu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/banghua-zhu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference](https://md.research.elamur.ai/free/en/papers/chiang-2024-chatbot-arena-open-platform-evaluating/)** *(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](https://md.research.elamur.ai/free/en/papers/li-2024-crowdsourced-data-high-quality-benchmarks/)** *(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…
3. **[S-LoRA: Serving Thousands of Concurrent LoRA Adapters](https://md.research.elamur.ai/free/en/papers/sheng-2023-s-lora-serving-thousands-concurrent/)** *(2023 · 80 citations)* Organizations increasingly fine-tune one base LLM into many task-specific LoRA variants, but serving them all at once is poorly supported.

## All works

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

1. [**Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference arXiv:2403.04132**Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.*2024 · 546 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-chatbot-arena-open-platform-evaluating/)
2. [**From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline arXiv:2406.11939**Tianle Li, Wei-Lin Chiang, Evan Frick, et al.*2024 · 210 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-crowdsourced-data-high-quality-benchmarks/)
3. [**S-LoRA: Serving Thousands of Concurrent LoRA Adapters MLSys 2024**Ying Sheng, Shiyi Cao, Dacheng Li, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-s-lora-serving-thousands-concurrent/)
4. **[Fairness in Serving Large Language Models ↗](https://arxiv.org/abs/2401.00588) arXiv (Cornell University) · no summary yet**Ying Sheng et al.*2023 · 62 citations*
5. **[Generalized resilience and robust statistics ↗](https://doi.org/10.1214/22-aos2186) The Annals of Statistics · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2019 · 34 citations*
6. **[How to Evaluate Reward Models for RLHF ↗](https://arxiv.org/abs/2410.14872) arXiv:2410.14872 · no summary yet**Evan Frick et al.*2024 · 31 citations*
7. **[Robust estimation via generalized quasi-gradients ↗](https://doi.org/10.1093/imaiai/iaab018) Information and Inference A Journal of the IMA · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2021 · 22 citations*
8. **[When does the Tukey Median work? ↗](https://doi.org/10.1109/isit44484.2020.9173995) IEEE International Symposium on Information Theory (ISIT) · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2020 · 16 citations*
9. **[On Optimal Caching and Model Multiplexing for Large Model Inference ↗](https://arxiv.org/abs/2306.02003) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2023 · 5 citations*
10. **[Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees ↗](https://arxiv.org/abs/2205.11765) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2022 · 1 citation*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/) ×2
- [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) ×2
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) ×2
- [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) ×2
- [Tianle Li](https://md.research.elamur.ai/free/en/authors/tianle-li/) ×2
- [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/) ×2
- [Ying Sheng](https://md.research.elamur.ai/free/en/authors/ying-sheng/) ×2
- [Anastasios N. Angelopoulos](https://md.research.elamur.ai/free/en/authors/anastasios-n-angelopoulos/)
- [Coleman Hooper](https://md.research.elamur.ai/free/en/authors/coleman-hooper/)
- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/)
- [Kurt Keutzer](https://md.research.elamur.ai/free/en/authors/kurt-keutzer/)
- [Michael I. Jordan](https://md.research.elamur.ai/free/en/authors/michael-i-jordan/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- IEEE International Symposium on Information Theory (ISIT)
- Information and Inference A Journal of the IMA
- MLSys 2024
- The Annals of Statistics

## Cited by

Papers of our library cite their works 822 times (of the 149,439 papers whose bibliographies we read); [200 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/banghua-zhu/cited-by/).

Updated 2 November 2026