---
title: "Jinyan Su · Cornell University — author profile and papers"
description: "Jinyan Su, Cornell University: 4 papers on Elamur Research (2023–2026), h-index 9 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jinyan-su/"
---
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# Jinyan Su

Jinyan Su has 4 papers in our library, in 2023–2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jimin Huang](https://md.research.elamur.ai/free/en/authors/jimin-huang/), [Zhuohan Xie](https://md.research.elamur.ai/free/en/authors/zhuohan-xie/), [Daniil Orel](https://md.research.elamur.ai/free/en/authors/daniil-orel/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5074353443) · [ORCID](https://orcid.org/0009-0006-3106-2521) · [**h-index 9**](https://openalex.org/authors/A5074353443) · [54 works](https://openalex.org/works?filter=author.id:A5074353443) · [310 citations](https://openalex.org/works?filter=author.id:A5074353443&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jinyan-su/#papers) · [🔗 Cited 197 times in our library](https://md.research.elamur.ai/free/en/authors/jinyan-su/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5802](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5802)

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

## Affiliations

[🎓**Cornell University** Ithaca · United States 2023–2026 · 15 papersEducation*current*](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2021–2022 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**New York University Abu Dhabi** Abu Dhabi · United Arab Emirates 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/new-york-university-abu-dhabi/) · [🎓**Wuhan University** Wuhan · China 2007–2009 · 4 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🏢**Guangdong Power Grid Company** Guangzhou · China 2025 · 2 papers](https://ror.org/04p8atc80) · [🏥**Kunming Children's Hospital** Kunming · China 2021–2022 · 2 papers](https://ror.org/00fjv1g65)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 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 · 3 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.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jinyan-su/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jinyan-su/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/)** *(2023 · 172 citations)* As LLMs improve, telling their output apart from human writing gets harder, and supervised detectors must be retrained for every new model.
2. **[FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-finchain-symbolic-benchmark-verifiable-chain/)** *(2026 · 10 citations)* Current financial QA benchmarks such as FinQA and ConvFinQA mostly score the final number a model produces.
3. **[Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI](https://md.research.elamur.ai/free/en/papers/wang-2026-is-human-like-text-liked/)** *(2026 · 5 citations)* Earlier work suggested that people can barely tell LLM output from human writing. Most of that evidence came from English text, GPT-3.5-turbo, and small samples. This paper tests whether the claim holds for newer models, other languages and expert readers, aiming to estimate the ceiling of human detection ability.
4. **[The Illusion of Specialization: Unveiling the Domain-Invariant “Standing Committee” in Mixture-of-Experts Models](https://md.research.elamur.ai/free/en/papers/wang-2026-illusion-specialization-unveiling-domain-invariant/)** *(2026)* Mixture-of-Experts (MoE) language models are usually thought to gain efficiency by sending different domains to different specialist experts.

## All works

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

1. **[DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyan Su, Terry Zhuo, Di Wang, et al.*2023 · 172 citations*
2. **[M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection ↗](https://arxiv.org/abs/2305.14902) arXiv:2305.14902 · no summary yet**Yuxia Wang et al.*2023 · 107 citations*
3. **[FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-finchain-symbolic-benchmark-verifiable-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuohan Xie, Daniil Orel, Rushil Thareja, et al.*2026 · 10 citations*
4. **[Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI](https://md.research.elamur.ai/free/en/papers/wang-2026-is-human-like-text-liked/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxia Wang, Rui Xing, Jonibek Mansurov, et al.*2026 · 5 citations*
5. **[The Illusion of Specialization: Unveiling the Domain-Invariant “Standing Committee” in Mixture-of-Experts Models](https://md.research.elamur.ai/free/en/papers/wang-2026-illusion-specialization-unveiling-domain-invariant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yan Wang, Yitao Xu, Nanhan Shen, et al.*2026*
6. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs ↗](https://aclanthology.org/2026.findings-acl.1748/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zhengxin Zhang et al.*2026*

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Jimin Huang](https://md.research.elamur.ai/free/en/authors/jimin-huang/) ×2
- [Zhuohan Xie](https://md.research.elamur.ai/free/en/authors/zhuohan-xie/) ×2
- [Daniil Orel](https://md.research.elamur.ai/free/en/authors/daniil-orel/)
- [Debopriyo Banerjee](https://md.research.elamur.ai/free/en/authors/debopriyo-banerjee/)
- [Dhruv Sahnan](https://md.research.elamur.ai/free/en/authors/dhruv-sahnan/)
- [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/)
- [Fan Zhang](https://md.research.elamur.ai/free/en/authors/fan-zhang/)
- [Georgi Nenkov Georgiev](https://md.research.elamur.ai/free/en/authors/georgi-nenkov-georgiev/)
- [Giovanni Puccetti](https://md.research.elamur.ai/free/en/authors/giovanni-puccetti/)
- [Hachem Madmoun](https://md.research.elamur.ai/free/en/authors/hachem-madmoun/)
- [Jiahui Geng](https://md.research.elamur.ai/free/en/authors/jiahui-geng/)
- [Jonibek Mansurov](https://md.research.elamur.ai/free/en/authors/jonibek-mansurov/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 197 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jinyan-su/cited-by/).

Updated 1 November 2026
