---
title: "Jiatong Li — author profile and papers — Elamur Research"
description: "Jiatong Li, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/jiatong-li/"
---
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# Jiatong Li

Jiatong Li has 2 papers in our library, in 2026, 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 [Changdae Oh](https://md.research.elamur.ai/free/en/authors/changdae-oh/), [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/), [Hamed Hassani](https://md.research.elamur.ai/free/en/authors/hamed-hassani/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5032521759) · [ORCID](https://orcid.org/0009-0000-8877-6927) · [**h-index 3**](https://openalex.org/authors/A5032521759) · [9 works](https://openalex.org/works?filter=author.id:A5032521759) · [33 citations](https://openalex.org/works?filter=author.id:A5032521759&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiatong-li/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/jiatong-li/cited-by/) · [⭐ Paper Stars ranking: #10921](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10921)

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

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Baidu** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/baidu/)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 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/)

🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiatong-li/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression](https://md.research.elamur.ai/free/en/papers/peng-2026-logic-jailbreak-efficiently-unlocking-llm/)** *(2026 · 8 citations)* The paper asks why safety-aligned LLMs still give in to jailbreaks. The authors propose that alignment learns refusal mostly from surface token patterns, so a harmful request with the same meaning but an unfamiliar form can slip past safeguards. To test this, they present LogiBreak, a black-box attack that rewrites a…
2. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/)** *(2026 · 4 citations)* Most uncertainty quantification (UQ) work for LLMs studies a model that answers once, or follows one chain of reasoning, and gets no new information along the way.

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Changdae Oh](https://md.research.elamur.ai/free/en/authors/changdae-oh/)
- [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/)
- [Hamed Hassani](https://md.research.elamur.ai/free/en/authors/hamed-hassani/)
- [Jingyu Peng](https://md.research.elamur.ai/free/en/authors/jingyu-peng/)
- [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/)
- [Maolin Wang](https://md.research.elamur.ai/free/en/authors/maolin-wang/)
- [Nan Wang](https://md.research.elamur.ai/free/en/authors/nan-wang/)
- [Pengyue Jia](https://md.research.elamur.ai/free/en/authors/pengyue-jia/)
- [Samuel Yeh](https://md.research.elamur.ai/free/en/authors/samuel-yeh/)
- [Sean Du](https://md.research.elamur.ai/free/en/authors/sean-du/)
- [Seongheon Park](https://md.research.elamur.ai/free/en/authors/seongheon-park/)
- [Sharon Li](https://md.research.elamur.ai/free/en/authors/sharon-li/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 9 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiatong-li/cited-by/).

Updated 2 November 2026
