---
title: "Evan Frick — author profile and papers — Elamur Research"
description: "Evan Frick, Orano: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/evan-frick/"
---
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# Evan Frick

Evan Frick has 2 papers in our library, in 2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Banghua Zhu](https://md.research.elamur.ai/free/en/authors/banghua-zhu/), [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/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5113258467) · [**h-index 1**](https://openalex.org/authors/A5113258467) · [4 works](https://openalex.org/works?filter=author.id:A5113258467) · [6 citations](https://openalex.org/works?filter=author.id:A5113258467&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/evan-frick/#papers) · [🔗 Cited 244 times in our library](https://md.research.elamur.ai/free/en/authors/evan-frick/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6280](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6280)

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=Evan+Frick) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Evan+Frick) · [dblp](https://dblp.org/search?q=Evan+Frick) · [ACL Anthology](https://aclanthology.org/search/?q=Evan+Frick)

## Affiliations

[🏢**Orano** Washington D.C. · United States 2026 · 1 paper*current*](https://ror.org/04eb8df09) · [🎓**University of California, Berkeley** Berkeley · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/evan-frick/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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…
2. **[How to Evaluate Reward Models for RLHF](https://md.research.elamur.ai/free/en/papers/frick-2024-evaluate-reward-models-rlhf/)** *(2024 · 31 citations)* Reward models guide RLHF, but the only direct way to judge one is to train a policy with it and measure the result.

## 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. [**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/)
2. [**How to Evaluate Reward Models for RLHF arXiv:2410.14872**Evan Frick, Tianle Li, Connor Chen, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/frick-2024-evaluate-reward-models-rlhf/)
3. **[Prompt-to-Leaderboard ↗](https://arxiv.org/abs/2502.14855) arXiv (Cornell University) · no summary yet**Evan Frick et al.*2025 · 9 citations*

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Banghua Zhu](https://md.research.elamur.ai/free/en/authors/banghua-zhu/) ×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
- [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
- [Anastasios N. Angelopoulos](https://md.research.elamur.ai/free/en/authors/anastasios-n-angelopoulos/)
- [Jiantao Jiao](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/)
- [Tianhao Wu](https://md.research.elamur.ai/free/en/authors/tianhao-wu/)

## Cited by

Papers of our library cite their works 244 times (of the 149,439 papers whose bibliographies we read); [97 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/evan-frick/cited-by/).

Updated 3 November 2026
