🧑‍🔬 Hai-Tao Zheng

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2009–2026 · 225 paperscurrent🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China2009–2026 · 183 paperscurrent🔬Peng Cheng LaboratoryShenzhen · China2021–2026 · 94 paperscurrent🎓University of ChicagoChicago · United States2017–2026 · 44 paperscurrent🎓Tiangong UniversityTianjin · China2026 · 2 paperscurrent🏢China National Petroleum CorporationBeijing · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Hefei Institutes of Physical ScienceHefei · China2026 · 1 papercurrent🎓University of California, Santa BarbaraSanta Barbara · United States2006–2021 · 70 papers🎓Beihang UniversityBeijing · China2010–2025 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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…
2. 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…
3. 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…
4. Read As Human: Compressing Context via Parallelizable Close Reading and Skimming (2026)
   Long prompts, such as those produced by retrieval-augmented generation, make LLM inference slow because attention cost grows quadratically.
5. 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

9 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback ↗arXiv:2312.00849 · no summary yetTianyu Yu et al.2023 · 217 citations
2. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetDong Wang et al.2021 · 132 citations
3. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetZiran Li et al.2019 · 110 citations
4. Event Detection with Trigger-Aware Lattice Neural Network ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetNing Ding et al.2019 · 74 citations
5. 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
6. 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
7. 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
8. Read As Human: Compressing Context via Parallelizable Close Reading and SkimmingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiwei Tang, Shilei Liu, Zhicheng Zhang, et al.2026
9. 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

12 of 30 co-authors with a page, the most papers together first.

• Jingheng Ye ×4
• Jiwei Tang ×3
• Deqing Zou ×2
• Qingsong Wen ×2
• Ruitong Liu ×2
• Shen Wang ×2
• Tingwei Lu ×2
• Zhicheng Zhang ×2
• Bo Zheng
• Haibin Chen
• Haoyang Li
• Hong-Gee Kim

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) ×5: ACL 2026 ×2
• International Conference on Computational Linguistics (COLING)
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics
• Nature Machine Intelligence
• Proceedings of the AAAI Conference on Artificial Intelligence: Proceedings of the AAAI Conference on Artificial Intelligence 2024
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
• Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 605 times (of the 149,439 papers whose bibliographies we read); 85 citing papers with a page here →.

Updated 1 November 2026

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