---
title: "Run-Ze Fan — author profile and papers — Elamur Research"
description: "Run-Ze Fan, University of Massachusetts Amherst: 4 papers on Elamur Research (2023–2024), h-index 2 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/run-ze-fan/"
---
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# Run-Ze Fan

Run-Ze Fan has 4 papers in our library, in 2023–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/), [Ruijie Xu](https://md.research.elamur.ai/free/en/authors/ruijie-xu/), [Zengzhi Wang](https://md.research.elamur.ai/free/en/authors/zengzhi-wang/).

4 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5102594917) · [**h-index 2**](https://openalex.org/authors/A5102594917) · [8 works](https://openalex.org/works?filter=author.id:A5102594917) · [21 citations](https://openalex.org/works?filter=author.id:A5102594917&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/run-ze-fan/#papers) · [🔗 Cited 243 times in our library](https://md.research.elamur.ai/free/en/authors/run-ze-fan/cited-by/) · [⭐ Paper Stars ranking: #5835](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5835)

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=Run-Ze+Fan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Run-Ze+Fan) · [dblp](https://dblp.org/search?q=Run-Ze+Fan) · [ACL Anthology](https://aclanthology.org/search/?q=Run-Ze+Fan)

## Affiliations

[🎓**University of Massachusetts Amherst** Amherst Center · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/run-ze-fan/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/run-ze-fan/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Generative Judge for Evaluating Alignment](https://md.research.elamur.ai/free/en/papers/li-2023-generative-judge-evaluating-alignment/)** *(2023 · 125 citations)* As LLMs move from classic NLP tasks toward open-ended, user-facing requests such as email drafting or brainstorming, evaluating them requires a judge that:
2. **[Benchmarking Benchmark Leakage in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2024-benchmarking-benchmark-leakage-large-language/)** *(2024 · 73 citations)* Large language models are often trained on undisclosed corpora that may include public benchmark data, sometimes on purpose.
3. **[OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI](https://md.research.elamur.ai/free/en/papers/huang-2024-olympicarena-benchmarking-multi-discipline-cognitive/)** *(2024 · 56 citations)* Existing exam-style benchmarks for LLMs and LMMs mostly test knowledge recall or simple concept application, and they usually grade only final answers.
4. **[MerA: Merging Pretrained Adapters For Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/he-2023-mera-merging-pretrained-adapters-few/)** *(2023 · 11 citations)* Adapter tuning trains only small bottleneck modules inside a frozen pretrained language model. These modules start from random weights, so they tend to underperform when only a handful of labeled examples are available. AdapterFusion reuses previously trained adapters, but its attention-style composition layers add…

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/) ×2
- [Ruijie Xu](https://md.research.elamur.ai/free/en/authors/ruijie-xu/) ×2
- [Zengzhi Wang](https://md.research.elamur.ai/free/en/authors/zengzhi-wang/) ×2
- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/)
- [Ethan Chern](https://md.research.elamur.ai/free/en/authors/ethan-chern/)
- [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/)
- [Haoyang Zou](https://md.research.elamur.ai/free/en/authors/haoyang-zou/)
- [Junlong Li](https://md.research.elamur.ai/free/en/authors/junlong-li/)
- [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/)
- [Liang Ding](https://md.research.elamur.ai/free/en/authors/liang-ding/)
- [Lyumanshan Ye](https://md.research.elamur.ai/free/en/authors/lyumanshan-ye/)
- [Shijie Xia](https://md.research.elamur.ai/free/en/authors/shijie-xia/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 243 times (of the 149,439 papers whose bibliographies we read); [71 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/run-ze-fan/cited-by/).

Updated 2 November 2026
