---
title: "Li Lin — author profile and papers — Elamur Research"
description: "Li Lin, Duke University: 3 papers on Elamur Research (2026), h-index 31 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/li-lin/"
---
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# Li Lin

Li Lin 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Xiaojun Wan](https://md.research.elamur.ai/free/en/authors/xiaojun-wan/), [Xinyu Hu](https://md.research.elamur.ai/free/en/authors/xinyu-hu/), [Fan Xu](https://md.research.elamur.ai/free/en/authors/fan-xu/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5100412815) · [ORCID](https://orcid.org/0000-0001-7553-6916) · [Wikidata](https://www.wikidata.org/wiki/Q130911443) · [**h-index 31**](https://openalex.org/authors/A5100412815) · [421 works](https://openalex.org/works?filter=author.id:A5100412815) · [4,309 citations](https://openalex.org/works?filter=author.id:A5100412815&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/li-lin/#papers) · [🔗 Cited 92 times in our library](https://md.research.elamur.ai/free/en/authors/li-lin/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12764](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12764)

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

## Affiliations

[🎓**Wuhan University of Technology** Wuhan · China 2009–2026 · 231 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-technology/) · [🎓**Peking University** Beijing · China 2022–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Alibaba Group** Hangzhou · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Duke University** Durham · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🏥**Shenzhen Children's Hospital** Shenzhen · China 2026 · 1 paper*current*](https://ror.org/0409k5a27) · [🎓**Beihang University** Beijing · China 2008–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**North China Electric Power University** Beijing · China 2004–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/north-china-electric-power-university/) · [🎓**Xiamen University** Xiamen · China 2014–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**Hefei University of Technology** Hefei · China 2010–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/hefei-university-of-technology/) · [🎓**Qinghai Normal University** Xining · China 2016–2023 · 5 papers](https://ror.org/03az1t892)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 78 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 · 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy](https://md.research.elamur.ai/free/en/papers/xu-2026-had-hallucination-detection-language-models/)** *(2026 · 1 citation)* Large language models often produce fluent text that is wrong or that drifts from the given instruction or input.
2. **[LEDOM: Reverse Language Model](https://md.research.elamur.ai/free/en/papers/yin-2026-ledom-reverse-language-model/)** *(2026)* Standard autoregressive language models are trained only in the left-to-right direction. The authors ask what happens if the opposite factorization is trained at scale, with each token predicted from the text that follows it. They build LEDOM, a purely right-to-left decoder-only model at 2B and 7B parameters. It is…
3. **[Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text](https://md.research.elamur.ai/free/en/papers/zhang-2026-minos-multimodal-evaluation-model-bidirectional/)** *(2026)* Automatic judging of multimodal outputs is still unreliable. Classic metrics often disagree with human ratings, need references, or only work for one task. Existing MLLM-based judges such as LLaVA-Critic and UnifiedReward train on large but loosely filtered data and do not handle both image-to-text (I2T) and…

## All works

5 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. **[TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models ↗](https://aclanthology.org/2023.emnlp-main.711/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jing Xiong et al.*2023 · 21 citations*
2. **[An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning ↗](https://arxiv.org/abs/1907.02205) arXiv:1907.02205 · no summary yet**Duan Wei, Li Lin*2019 · 11 citations*
3. **[HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy](https://md.research.elamur.ai/free/en/papers/xu-2026-had-hallucination-detection-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Xu, Xinyu Hu, Zhenghan Yu, et al.*2026 · 1 citation*
4. **[LEDOM: Reverse Language Model](https://md.research.elamur.ai/free/en/papers/yin-2026-ledom-reverse-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xunjian Yin, Sitao Cheng, Yuxi Xie, et al.*2026*
5. **[Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text](https://md.research.elamur.ai/free/en/papers/zhang-2026-minos-multimodal-evaluation-model-bidirectional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junzhe Zhang, Huixuan Zhang, Xinyu Hu, et al.*2026*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Xiaojun Wan](https://md.research.elamur.ai/free/en/authors/xiaojun-wan/) ×3
- [Xinyu Hu](https://md.research.elamur.ai/free/en/authors/xinyu-hu/) ×3
- [Fan Xu](https://md.research.elamur.ai/free/en/authors/fan-xu/)
- [Huixuan Zhang](https://md.research.elamur.ai/free/en/authors/huixuan-zhang/)
- [Jinjie Gu](https://md.research.elamur.ai/free/en/authors/jinjie-gu/)
- [Junzhe Zhang](https://md.research.elamur.ai/free/en/authors/junzhe-zhang/)
- [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/)
- [Mingqi Gao](https://md.research.elamur.ai/free/en/authors/mingqi-gao/)
- [Shi Qiu](https://md.research.elamur.ai/free/en/authors/shi-qiu/)
- [Sitao Cheng](https://md.research.elamur.ai/free/en/authors/sitao-cheng/)
- [Wei Zhou](https://md.research.elamur.ai/free/en/authors/wei-zhou/)
- [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-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
- [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/)
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 92 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/li-lin/cited-by/).

Updated 2 November 2026
