---
title: "Jiangtong Li · Tongji University — author profile and papers"
description: "Jiangtong Li, Tongji University: 2 papers on Elamur Research (2018–2026), h-index 15 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jiangtong-li/"
---
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# Jiangtong Li

Jiangtong Li has 2 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Gongshen Liu](https://md.research.elamur.ai/free/en/authors/gongshen-liu/), [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/), [Kun Zhu](https://md.research.elamur.ai/free/en/authors/kun-zhu/).

2 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5047636121) · [ORCID](https://orcid.org/0000-0003-3873-4053) · [**h-index 15**](https://openalex.org/authors/A5047636121) · [59 works](https://openalex.org/works?filter=author.id:A5047636121) · [603 citations](https://openalex.org/works?filter=author.id:A5047636121&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiangtong-li/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/jiangtong-li/cited-by/) · [⭐ Paper Stars ranking: #7042](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7042)

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

## Affiliations

[🎓**Tongji University** Shanghai · China 2023–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/universities/tongji-university/) · [🏥**Shanghai Sunshine Rehabilitation Center** Shanghai · China 2025–2026 · 4 papers*current*](https://ror.org/03gqsr633) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2018–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Guangxi Normal University** Guilin · China 2008 · 4 papers](https://ror.org/02frt9q65) · [🎓**Beijing Institute of Technology** Beijing · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/)

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 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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jiangtong-li/year/2026/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/jiangtong-li/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Modeling Multi-turn Conversation with Deep Utterance Aggregation](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/)** *(2018 · 154 citations)* The paper tackles retrieval-based response selection for multi-turn dialogue. Earlier systems either concatenate the whole history, which adds noise, or match the candidate against each turn without weighing which turns and words matter. The authors propose Deep Utterance Aggregation (DUA), which has five modules:
2. **[Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation](https://md.research.elamur.ai/free/en/papers/wang-2026-can-llms-really-judge-progressive/)** *(2026)* The paper argues that benchmark accuracy measures how well LLMs generate answers, not whether they can tell a sound solution from a convincing wrong one.

## Co-authors here

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

- [Gongshen Liu](https://md.research.elamur.ai/free/en/authors/gongshen-liu/)
- [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/)
- [Kun Zhu](https://md.research.elamur.ai/free/en/authors/kun-zhu/)
- [Zhuosheng Zhang](https://md.research.elamur.ai/free/en/authors/zhuosheng-zhang/)

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2018](https://md.research.elamur.ai/free/en/venues/coling/2018/)
- [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 83 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiangtong-li/cited-by/).

Updated 2 November 2026
