Yaohui Jin
Yaohui Jin has 3 papers in our library, in 2021–2026, most of them on Reasoning; often with Chang Ma, Cheng Hong Yang, Hao He.
OpenAlex · ORCID · h-index 24 · 316 works · 2,498 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 167 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #6741
Affiliations
🎓Shanghai Jiao Tong UniversityShanghai ·
China1998–2026 · 292 papersEmployment🔬State Key Laboratory of Advanced Optical Communication Systems and NetworksShanghai2004–2024 · 132 papers🔬State Key Laboratory of Advanced Optical Communication Systems and NetworksHubei2005–2024 · 29 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works
Works by year
2020s
Papers
- AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents (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… - Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI (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. - ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry (2026)
Most chemistry benchmarks for large language models test factual knowledge through QA or multiple-choice questions.
All works
- Multi-Task Label Embedding for Text Classification ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetHonglun Zhang et al.2018 · 109 citations
- AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Chang Ma, Junlei Zhang, Zhihao Zhu, et al.2024 · 90 citations
- Diagnosing the First-Order Logical Reasoning Ability Through LogicNLIConference on Empirical Methods in Natural Language Processing (EMNLP)Jidong Tian, Yitian Li, Wenqing Chen, et al.2021 · 86 citations
- TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics ↗International Joint Conference on Artificial Intelligence · no summary yetShihui Yang et al.2019 · 75 citations
- MCapsNet: Capsule Network for Text with Multi-Task Learning ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetLiqiang Xiao et al.2018 · 57 citations
- A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetWenqing Chen et al.2020 · 24 citations
- ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental ChemistryAnnual Meeting of the Association for Computational Linguistics (ACL)Jinwei Zhang, Xucheng Liang, Yu Zhang, et al.2026
Co-authors here
- Chang Ma
- Cheng Hong Yang
- Hao He
- Junlei Zhang
- Junxian He
- Lingpeng Kong
- Yu Zhang
- Yujiu Yang
- Zhenzhong Lan
- Zhihao Zhu
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2021
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
- International Joint Conference on Artificial Intelligence
- Proceedings of the 28th International Conference on Computational Linguistics
Cited by
Updated
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