---
title: "Yaohui Jin — author profile and papers — Elamur Research"
description: "Yaohui Jin, Shanghai Jiao Tong University: 3 papers on Elamur Research (2021–2026), h-index 24 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yaohui-jin/"
---
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# Yaohui Jin

Yaohui Jin has 3 papers in our library, in 2021–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chang Ma](https://md.research.elamur.ai/free/en/authors/chang-ma/), [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/), [Hao He](https://md.research.elamur.ai/free/en/authors/hao-he/).

3 papers in our library · 2021–2026

[OpenAlex](https://openalex.org/A5085787425) · [ORCID](https://orcid.org/0000-0001-6158-6277) · [**h-index 24**](https://openalex.org/authors/A5085787425) · [316 works](https://openalex.org/works?filter=author.id:A5085787425) · [2,498 citations](https://openalex.org/works?filter=author.id:A5085787425&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yaohui-jin/#papers) · [🔗 Cited 167 times in our library](https://md.research.elamur.ai/free/en/authors/yaohui-jin/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6741](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6741)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 1998–2026 · 292 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**State Key Laboratory of Advanced Optical Communication Systems and Networks** Shanghai 2004–2024 · 132 papers](https://ror.org/03dz8mb53) · [🔬**State Key Laboratory of Advanced Optical Communication Systems and Networks** Hubei 2005–2024 · 29 papers](https://ror.org/02a9key75)

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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yaohui-jin/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yaohui-jin/year/2024/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/yaohui-jin/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2024-agentboard-analytical-evaluation-board-multi/)** *(2024 · 90 citations)* Most benchmarks for LLM agents judge models only by whether they finish a task. This hides differences when nearly every model fails and reveals little about why. Many benchmarks also rely on single-turn or fully observable problems. AgentBoard (NeurIPS 2024, Datasets and Benchmarks track) addresses this with 1013…
2. **[Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI](https://md.research.elamur.ai/free/en/papers/tian-2021-diagnosing-first-order-logical-reasoning/)** *(2021 · 86 citations)* Pretrained Transformers score well on many NLU benchmarks, but it is unclear whether they actually perform first-order logic (FOL) reasoning or exploit dataset artifacts and commonsense cues.
3. **[ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry](https://md.research.elamur.ai/free/en/papers/zhang-2026-chemreason-bench-benchmarking-large-language/)** *(2026)* Most chemistry benchmarks for large language models test factual knowledge through QA or multiple-choice questions.

## All works

7 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. **[Multi-Task Label Embedding for Text Classification ↗](https://aclanthology.org/D18-1484/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Honglun Zhang et al.*2018 · 109 citations*
2. **[AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2024-agentboard-analytical-evaluation-board-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chang Ma, Junlei Zhang, Zhihao Zhu, et al.*2024 · 90 citations*
3. **[Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI](https://md.research.elamur.ai/free/en/papers/tian-2021-diagnosing-first-order-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jidong Tian, Yitian Li, Wenqing Chen, et al.*2021 · 86 citations*
4. **[TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics ↗](https://doi.org/10.24963/ijcai.2019/268) International Joint Conference on Artificial Intelligence · no summary yet**Shihui Yang et al.*2019 · 75 citations*
5. **[MCapsNet: Capsule Network for Text with Multi-Task Learning ↗](https://aclanthology.org/D18-1486/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Liqiang Xiao et al.*2018 · 57 citations*
6. **[A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation ↗](https://aclanthology.org/2020.coling-main.102/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Wenqing Chen et al.*2020 · 24 citations*
7. **[ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry](https://md.research.elamur.ai/free/en/papers/zhang-2026-chemreason-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinwei Zhang, Xucheng Liang, Yu Zhang, et al.*2026*

## Co-authors here

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

- [Chang Ma](https://md.research.elamur.ai/free/en/authors/chang-ma/)
- [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/)
- [Hao He](https://md.research.elamur.ai/free/en/authors/hao-he/)
- [Junlei Zhang](https://md.research.elamur.ai/free/en/authors/junlei-zhang/)
- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)
- [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/)
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)
- [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/)
- [Zhenzhong Lan](https://md.research.elamur.ai/free/en/authors/zhenzhong-lan/)
- [Zhihao Zhu](https://md.research.elamur.ai/free/en/authors/zhihao-zhu/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/)
- [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/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- International Joint Conference on Artificial Intelligence
- Proceedings of the 28th International Conference on Computational Linguistics

## Cited by

Papers of our library cite their works 167 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yaohui-jin/cited-by/).

Updated 2 November 2026
