---
title: "Chenglin Li — author profile and papers — Elamur Research"
description: "Chenglin Li, Shanghai Jiao Tong University: 4 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/chenglin-li/"
---
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# Chenglin Li

Chenglin Li has 4 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yin Zhang](https://md.research.elamur.ai/free/en/authors/yin-zhang/), [Haowen Hou](https://md.research.elamur.ai/free/en/authors/haowen-hou/), [Qianglong Chen](https://md.research.elamur.ai/free/en/authors/qianglong-chen/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5103672836) · [**h-index 3**](https://openalex.org/authors/A5103672836) · [12 works](https://openalex.org/works?filter=author.id:A5103672836) · [10 citations](https://openalex.org/works?filter=author.id:A5103672836&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chenglin-li/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/chenglin-li/cited-by/) · [⭐ Paper Stars ranking: #7989](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7989)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chenglin-li/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chenglin-li/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chenglin-li/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Teaching Small Language Models Reasoning through Counterfactual Distillation](https://md.research.elamur.ai/free/en/papers/feng-2024-teaching-small-language-models-reasoning/)** *(2024 · 21 citations)* The paper addresses a weakness of chain-of-thought (CoT) distillation, where a large teacher model's rationales are used to fine-tune small language models (SLMs).
2. **[Mixed Distillation Helps Smaller Language Model Better Reasoning](https://md.research.elamur.ai/free/en/papers/li-2023-mixed-distillation-helps-smaller-language/)** *(2023 · 11 citations)* Large language models reason well but are expensive to run. Earlier work on distilling reasoning into compact models mostly transfers only natural-language Chain of Thought (CoT). This paper argues that Program of Thought (PoT), where the model writes executable Python, is a valuable extra training signal. The…
3. **[VideoPro: Adaptive Program Reasoning for Long Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2026-videopro-adaptive-program-reasoning-long/)** *(2026 · 6 citations)* Long videos are hard for VideoLLMs because the visual cues needed to answer a question are few and scattered across a long timeline.
4. **[Interleaved Latent Visual Reasoning with Selective Perceptual Modeling](https://md.research.elamur.ai/free/en/papers/dong-2026-interleaved-latent-visual-reasoning-selective/)** *(2026 · 5 citations)* Multimodal LLMs can reason better when they interleave intermediate images with their textual chain of thought.

## Co-authors here

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

- [Yin Zhang](https://md.research.elamur.ai/free/en/authors/yin-zhang/) ×3
- [Haowen Hou](https://md.research.elamur.ai/free/en/authors/haowen-hou/) ×2
- [Qianglong Chen](https://md.research.elamur.ai/free/en/authors/qianglong-chen/) ×2
- [Shuai Dong](https://md.research.elamur.ai/free/en/authors/shuai-dong/) ×2
- [Yicheng Li](https://md.research.elamur.ai/free/en/authors/yicheng-li/) ×2
- [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/)
- [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/)
- [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/)
- [Jiaqi Wang](https://md.research.elamur.ai/free/en/authors/jiaqi-wang/)
- [Jingqi Tong](https://md.research.elamur.ai/free/en/authors/jingqi-tong/)
- [Liangyue Li](https://md.research.elamur.ai/free/en/authors/liangyue-li/)
- [Siyuan Wang](https://md.research.elamur.ai/free/en/authors/siyuan-wang/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)

## Cited by

Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenglin-li/cited-by/).

Updated 1 November 2026
