---
title: "Haiyan Zhao — author profile and papers"
description: "Haiyan Zhao, Zhejiang A & F University: 2 papers on Elamur Research (2023–2024), h-index 20 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/haiyan-zhao/"
---
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# Haiyan Zhao

2 papers on this site · 2023–2024

current affiliation [Zhejiang A & F University](https://ror.org/02vj4rn06), Lin’an Shi, China; [Jilin University](https://ror.org/00js3aw79), Changchun, China; [Ministry of Agriculture and Rural Affairs](https://ror.org/05ckt8b96), Beijing, China; [State Key Laboratory of Automotive Simulation and Control](https://ror.org/00b67z867), Changchun; [Kunming Metallurgy College](https://ror.org/04586n774), Kunming, China

Haiyan Zhao has 2 papers on this site, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/), [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/).

[OpenAlex](https://openalex.org/A5021287600) · [ORCID](https://orcid.org/0000-0002-5085-1116) · [**h-index 20**](https://openalex.org/authors/A5021287600) · [106 works](https://openalex.org/works?filter=author.id:A5021287600) · [1 470 citations](https://openalex.org/works?filter=author.id:A5021287600&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/#papers) · [219 citations in our library](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/cited-by/)

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

## Affiliations

- [Jilin University](https://ror.org/00js3aw79) · Changchun, China —current · 2005–2025 on 58 papers
- [State Key Laboratory of Automotive Simulation and Control](https://ror.org/00b67z867) · Changchun —current · 2014–2025 on 17 papers
- [Kunming Metallurgy College](https://ror.org/04586n774) · Kunming, China —current · 2025 on 1 paper
- [Ministry of Agriculture and Rural Affairs](https://ror.org/05ckt8b96) · Beijing, China —current · 2025 on 1 paper
- [Zhejiang A & F University](https://ror.org/02vj4rn06) · Lin’an Shi, China —current · 2025 on 1 paper
- [Peking University](https://ror.org/02v51f717) · Beijing, China —2021–2024 on 6 papers
- [National University of Defense Technology](https://ror.org/05d2yfz11) · Changsha, China —2018–2020 on 4 papers
- [Air Force Engineering University](https://ror.org/00seraz22) · Xi'an, China —2017 on 2 papers
- [Gansu Institute of Political Science and Law](https://ror.org/025km4h87) · Lanzhou, China —2003–2013 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Interpretability 1](https://md.research.elamur.ai/free/en/topics/interpretability/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)** *(2023 · 785 citations)* Large language models are widely deployed but remain opaque. This makes it hard to anticipate harmful outputs, hallucinations or hidden biases. This survey introduces no new data or models. Instead, it organizes the literature on explaining Transformer-based language models into a single taxonomy. Methods are split…
2. **[The Impact of Reasoning Step Length on Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2024-impact-reasoning-step-length-large/)** *(2024 · 119 citations)* Chain of Thought (CoT) prompting helps large language models reason, but it is unclear which part of a CoT prompt drives the gains.

## Co-authors here

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

- [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) ×2
- [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/)
- [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/)
- [Hanjie Chen](https://md.research.elamur.ai/free/en/authors/hanjie-chen/)
- [Shuaiqiang Wang](https://md.research.elamur.ai/free/en/authors/shuaiqiang-wang/)
- [Yongfeng Zhang](https://md.research.elamur.ai/free/en/authors/yongfeng-zhang/)

## Cited by

Papers of our library cite their works 219 times (of the 140 884 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/cited-by/).
