---
title: "Kehua Feng · Fudan University — author profile and papers"
description: "Kehua Feng, Fudan University: 2 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/kehua-feng/"
---
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# Kehua Feng

Kehua Feng has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/), [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/), [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5113178971) · [ORCID](https://orcid.org/0009-0001-9620-0511) · [**h-index 4**](https://openalex.org/authors/A5113178971) · [23 works](https://openalex.org/works?filter=author.id:A5113178971) · [52 citations](https://openalex.org/works?filter=author.id:A5113178971&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kehua-feng/#papers) · [🔗 Cited 168 times in our library](https://md.research.elamur.ai/free/en/authors/kehua-feng/cited-by/) · [⭐ Paper Stars ranking: #5725](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5725)

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

## Affiliations

[🎓**Zhejiang University** Hangzhou · China 2024–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**Ant Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 · 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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/kehua-feng/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kehua-feng/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)** *(2023 · 160 citations)* Large language models such as ChatGPT write fluent long-form answers that may contain factual errors. Classic fact-checking setups rarely fit this case. They usually assume that the claim to check, or the evidence for it, is already given. LLM outputs instead come without either, and they are long, with no clear unit…
2. **[SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models](https://md.research.elamur.ai/free/en/papers/feng-2024-sciknoweval-evaluating-multi-level-scientific/)** *(2024 · 36 citations)* SciKnowEval is a benchmark for measuring how much scientific knowledge large language models hold and how well they use it.

## Co-authors here

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

- [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/)
- [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/)
- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)
- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/)
- [Qiang Zhang](https://md.research.elamur.ai/free/en/authors/qiang-zhang/)
- [Steffi Chern](https://md.research.elamur.ai/free/en/authors/steffi-chern/)
- [Weijie Wang](https://md.research.elamur.ai/free/en/authors/weijie-wang/)
- [Weizhe Yuan](https://md.research.elamur.ai/free/en/authors/weizhe-yuan/)
- [Yuqi Tang](https://md.research.elamur.ai/free/en/authors/yuqi-tang/)

## Cited by

Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kehua-feng/cited-by/).

Updated 31 October 2026
