---
title: "Kai He — author profile and papers · Question answering"
description: "Kai He, National University of Singapore: 2 papers on Elamur Research (2023–2026), h-index 18 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/kai-he/"
---
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# Kai He

Kai He has 2 papers in our library, in 2023–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Dongyan Zhao](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/), [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/), [Mengling Feng](https://md.research.elamur.ai/free/en/authors/mengling-feng/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5101407801) · [ORCID](https://orcid.org/0000-0003-2639-1532) · [**h-index 18**](https://openalex.org/authors/A5101407801) · [54 works](https://openalex.org/works?filter=author.id:A5101407801) · [1,173 citations](https://openalex.org/works?filter=author.id:A5101407801&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kai-he/#papers) · [🔗 Cited 59 times in our library](https://md.research.elamur.ai/free/en/authors/kai-he/cited-by/) · [⭐ Paper Stars ranking: #8214](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8214)

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

## Affiliations

[🎓**National University of Singapore** Singapore · Singapore 2023–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2019–2024 · 14 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Fudan University** Shanghai · China 2013–2014 · 2 papers](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. 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kai-he/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kai-he/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)** *(2023 · 86 citations)* This survey asks how large language models are changing healthcare AI and what still prevents their real-world use.
2. **[Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation](https://md.research.elamur.ai/free/en/papers/wu-2026-curriculum-learning-based-hierarchical-scoring/)** *(2026)* Evaluating question answering (QA) outputs from LLMs at scale is hard. Lexical metrics such as EM, F1 or BLEU miss semantic equivalence. LLM-as-a-Judge setups based on commercial APIs are slow and expensive and rarely explain why an answer failed. HiEval addresses both problems with two models trained in sequence…

## Co-authors here

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

- [Dongyan Zhao](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/)
- [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/)
- [Mengling Feng](https://md.research.elamur.ai/free/en/authors/mengling-feng/)
- [Qika Lin](https://md.research.elamur.ai/free/en/authors/qika-lin/)
- [Qiong Wu](https://md.research.elamur.ai/free/en/authors/qiong-wu/)
- [Rui Mao](https://md.research.elamur.ai/free/en/authors/rui-mao/)
- [Shuai Zhao](https://md.research.elamur.ai/free/en/authors/shuai-zhao/)
- [Xiang Lan](https://md.research.elamur.ai/free/en/authors/xiang-lan/)
- [Zhen Li](https://md.research.elamur.ai/free/en/authors/zhen-li/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 59 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kai-he/cited-by/).

Updated 2 November 2026
