---
title: "Ziang Leng · Boston University — author profile and papers"
description: "Ziang Leng, Boston University: 2 papers on Elamur Research (2023–2024), h-index 3 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/ziang-leng/"
---
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# Ziang Leng

Ziang Leng 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 [Cheng Li](https://md.research.elamur.ai/free/en/authors/cheng-li/), [Yaying Fei](https://md.research.elamur.ai/free/en/authors/yaying-fei/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5042732970) · [**h-index 3**](https://openalex.org/authors/A5042732970) · [4 works](https://openalex.org/works?filter=author.id:A5042732970) · [54 citations](https://openalex.org/works?filter=author.id:A5042732970&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ziang-leng/#papers) · [🔗 Cited 161 times in our library](https://md.research.elamur.ai/free/en/authors/ziang-leng/cited-by/) · [⭐ Paper Stars ranking: #4609](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4609)

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

## Affiliations

[🎓**Boston University** Boston · United States 2020–2024 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/boston-university/)

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

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 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/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/)

🧭 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 InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/) · [**2023** 1 paper ChatHaruhi: Reviving Anime Character in Reality via Large Language Model](https://md.research.elamur.ai/free/en/papers/li-2023-chatharuhi-reviving-anime-character-reality/)

## Papers

The most cited first (OpenAlex and our library).

1. **[InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/)** *(2024 · 120 citations)* The paper looks at how to check whether role-playing agents (RPAs) built on large language models capture the personality of the character they imitate.
2. **[ChatHaruhi: Reviving Anime Character in Reality via Large Language Model](https://md.research.elamur.ai/free/en/papers/li-2023-chatharuhi-reviving-anime-character-reality/)** *(2023 · 91 citations)* Asking a large language model to simply "act like" a fictional character works only partly. The model relies on its own fuzzy memory of the work, invents facts, and drifts back to its default voice. Fine-tuning on a character's lines tends to increase hallucination and needs more data than minor characters have.…

## Co-authors here

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

- [Cheng Li](https://md.research.elamur.ai/free/en/authors/cheng-li/) ×2
- [Yaying Fei](https://md.research.elamur.ai/free/en/authors/yaying-fei/) ×2
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/)
- [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/)
- [Jiangjie Chen](https://md.research.elamur.ai/free/en/authors/jiangjie-chen/)
- [Quan Tu](https://md.research.elamur.ai/free/en/authors/quan-tu/)
- [Rui Xu](https://md.research.elamur.ai/free/en/authors/rui-xu/)
- [Siyu Yuan](https://md.research.elamur.ai/free/en/authors/siyu-yuan/)
- [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/)
- [Xintao Wang](https://md.research.elamur.ai/free/en/authors/xintao-wang/)
- [Yunze Xiao](https://md.research.elamur.ai/free/en/authors/yunze-xiao/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)

## Cited by

Papers of our library cite their works 161 times (of the 141,840 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziang-leng/cited-by/).

Updated 24 October 2026
