---
title: "Jiang Li · Inner Mongolia University — author profile and papers"
description: "Jiang Li, Inner Mongolia University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jiang-li/"
---
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# Jiang Li

Jiang Li has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Guanglai Gao](https://md.research.elamur.ai/free/en/authors/guanglai-gao/), [Tian Lan](https://md.research.elamur.ai/free/en/authors/tian-lan/), [Xiangdong Su](https://md.research.elamur.ai/free/en/authors/xiangdong-su/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139735924) · [**h-index 0**](https://openalex.org/authors/A5139735924) · [11 works](https://openalex.org/works?filter=author.id:A5139735924) · [0 citations](https://openalex.org/works?filter=author.id:A5139735924&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiang-li/#papers) · 🔗 Cited 1 time in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11377](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11377)

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

## Affiliations

[🎓**Inner Mongolia University** Hohhot · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/inner-mongolia-university/)

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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 3 Research subjects and languages the work is about.[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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jiang-li/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization](https://md.research.elamur.ai/free/en/papers/zhou-2026-signal-degradation-computation-collapse-uncovering/)** *(2026 · 1 citation)* The paper asks why weight-only post-training quantization (PTQ) of LLMs behaves acceptably at 4-bit but breaks down almost completely at 2-bit.
2. **[Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models](https://md.research.elamur.ai/free/en/papers/tian-2026-know-your-place-diagnosing-implicit/)** *(2026)* The paper asks whether Chinese LLMs adapt their conversational style to social signals that are only implied in a user's message, rather than stated in an instruction.
3. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model](https://md.research.elamur.ai/free/en/papers/wang-2026-tomelp-theory-mind-benchmark-route/)** *(2026)* ToMELP is a benchmark that tests whether large language models can infer a listener's mental state during a persuasive conversation and then use that inference to shape what they say.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization](https://md.research.elamur.ai/free/en/papers/zhou-2026-signal-degradation-computation-collapse-uncovering/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Zhou, Pengfei Cao, Jiang Li, et al.*2026 · 1 citation*
2. **[Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models](https://md.research.elamur.ai/free/en/papers/tian-2026-know-your-place-diagnosing-implicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Tian, Jie Xing, Ziming Li, et al.*2026*
3. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model](https://md.research.elamur.ai/free/en/papers/wang-2026-tomelp-theory-mind-benchmark-route/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruirui Wang, Haoran Zhang, Tian Lan, et al.*2026*
4. **[Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1165/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Chenxi Zhou et al.*2026*

## Co-authors here

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

- [Guanglai Gao](https://md.research.elamur.ai/free/en/authors/guanglai-gao/) ×2
- [Tian Lan](https://md.research.elamur.ai/free/en/authors/tian-lan/) ×2
- [Xiangdong Su](https://md.research.elamur.ai/free/en/authors/xiangdong-su/) ×2
- [Zehua Duo](https://md.research.elamur.ai/free/en/authors/zehua-duo/) ×2
- [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/)
- [Haoran Zhang](https://md.research.elamur.ai/free/en/authors/haoran-zhang/)
- [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/)
- [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/)
- [Pengfei Cao](https://md.research.elamur.ai/free/en/authors/pengfei-cao/)
- [Xu Liu](https://md.research.elamur.ai/free/en/authors/xu-liu/)
- [Yu Tian](https://md.research.elamur.ai/free/en/authors/yu-tian/)
- [Ziming Li](https://md.research.elamur.ai/free/en/authors/ziming-li/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [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: ACL 2026

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
