---
title: "Zi Lin — author profile and papers"
description: "Zi Lin, University of California San Diego: 2 papers on Elamur Research (2023), h-index 9 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/zi-lin/"
---
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# Zi Lin

2 papers on this site · 2023

current affiliation [University of California San Diego](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/), San Diego, United States; [Chengdu University](https://ror.org/034z67559), Chengdu, China; [Fuzhou University](https://ror.org/011xvna82), Fuzhou, China; [University of South China](https://ror.org/03mqfn238), Hengyang, China

Zi Lin has 2 papers on this site, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/), [Ion Stoica](https://md.research.elamur.ai/free/en/authors/ion-stoica/), [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/).

[OpenAlex](https://openalex.org/A5103777591) · [ORCID](https://orcid.org/0009-0008-0052-2817) · [**h-index 9**](https://openalex.org/authors/A5103777591) · [54 works](https://openalex.org/works?filter=author.id:A5103777591) · [355 citations](https://openalex.org/works?filter=author.id:A5103777591&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/zi-lin/#papers) · [303 citations in our library](https://md.research.elamur.ai/free/en/authors/zi-lin/cited-by/) · 1 more work in our library

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

## Affiliations

- [University of California San Diego](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · San Diego, United States —current · 2022–2024 on 7 papers
- [Chengdu University](https://ror.org/034z67559) · Chengdu, China —current · 2024 on 1 paper
- [Fuzhou University](https://ror.org/011xvna82) · Fuzhou, China —current · 2024 on 1 paper
- [University of South China](https://ror.org/03mqfn238) · Hengyang, China —current · 2024 on 1 paper
- [Google (United States)](https://md.research.elamur.ai/free/en/companies/google/) · Mountain View, United States —2022–2023 on 5 papers
- [Harvard University](https://md.research.elamur.ai/free/en/universities/harvard-university/) · Cambridge, United States —2022–2023 on 3 papers
- [Tai’an Maternity and Child Care Hospital](https://ror.org/03gvtzy22) · Tai’an, China —2023 on 2 papers
- [Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · Beijing, China —2010 on 2 papers
- [Jiaxing University](https://ror.org/00j2a7k55) · Jiaxing, China —2005–2009 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/zi-lin/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)** *(2023 · 235 citations)* Research into how people use large language models has been held back by the lack of public logs of genuine user interactions.
2. **[ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation](https://md.research.elamur.ai/free/en/papers/lin-2023-toxicchat-unveiling-hidden-challenges-toxicity/)** *(2023 · 127 citations)* Most toxicity detectors are trained on social media text. Users of LLM chatbots behave differently: they phrase harmful intent as questions or instructions, and they sometimes use "jailbreaking" prompts that look benign but aim to make the model bypass its policies. To study this gap, the authors built ToxicChat, the…

## Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

## Co-authors here

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

- [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/)
- [Ion Stoica](https://md.research.elamur.ai/free/en/authors/ion-stoica/)
- [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/)
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/)
- [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/)
- [Tianle Li](https://md.research.elamur.ai/free/en/authors/tianle-li/)
- [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/)
- [Ying Sheng](https://md.research.elamur.ai/free/en/authors/ying-sheng/)
- [Zhuohan Li](https://md.research.elamur.ai/free/en/authors/zhuohan-li/)
- [Zihan Wang](https://md.research.elamur.ai/free/en/authors/zihan-wang/)

## Cited by

Papers of our library cite their works 303 times (of the 140 884 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zi-lin/cited-by/).
