Jingheng Ye
Jingheng Ye has 4 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, English, Language models & pretraining; often with Hai-Tao Zheng, Deqing Zou, Jiwei Tang.
OpenAlex · h-index 6 · 27 works · 184 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 70 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8374
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksGrammatical error correction & learner language · 1 workEnglish · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction (2024 · 15 citations)
Most grammatical error correction (GEC) systems return only a corrected sentence. This leaves second-language learners unsure what was wrong. Earlier explanation research also handled explaining apart from correcting. The authors define EXGEC, a task in which one model both fixes a text and justifies each edit. They… - Position: LLMs Can be Good Tutors in English Education (2025 · 9 citations)
This is a position paper. It runs no experiments and introduces no dataset. The authors argue that current LLM uses in English teaching mostly reuse standard NLP task framings and ignore educational methodology. They contend that LLMs can work as tutors that support human teachers rather than replace them. They… - GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment (2026 · 8 citations)
Soft prompt compression shrinks long LLM inputs into a few learned vectors. The authors identify two weaknesses in existing methods. First, appended summary tokens tend to be dominated by a few anchor tokens during autoencoder pretraining. Second, high-level summary vectors are fed to the decoder as though they were… - FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing (2025)
Feedback tools for school-age English learners usually stop at fixing errors (GEC) or giving holistic essay scores.
All works
- LLM Agents for Education: Advances and Applications ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetZhendong Chu et al.2025 · 110 citations
- Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 23 citations
- EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error CorrectionProceedings of the AAAI Conference on Artificial IntelligenceJingheng Ye, Shang Qin, Yinghui Li, et al.2024 · 15 citations
- Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
- GMSA: Enhancing Context Compression via Group Merging and Layer Semantic AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Jiwei Tang, Zhicheng Zhang, Shunlong Wu, et al.2026 · 8 citations
- FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English WritingarXiv:2511.22883Jingheng Ye, Shen Wang, Jiaqi Chen, et al.2025
Co-authors here
- Hai-Tao Zheng ×4
- Deqing Zou ×2
- Jiwei Tang ×2
- Qingsong Wen ×2
- Ruitong Liu ×2
- Shen Wang ×2
- Haoyang Li
- Hong-Gee Kim
- Irwin King
- Jiaqi Chen
- Kun Wang
- Libo Qin
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Proceedings of the AAAI Conference on Artificial Intelligence: Proceedings of the AAAI Conference on Artificial Intelligence 2024
- Findings of the Association for Computational Linguistics: ACL 2026
- Findings of the Association for Computational Linguistics: EMNLP 2025
Cited by
Updated
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