--- title: "Hai-Tao Zheng · Tiangong University — author profile and papers" description: "Hai-Tao Zheng, Tiangong University: 6 papers on Elamur Research (2023–2026), h-index 55 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/hai-tao-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hai-tao-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hai-Tao Zheng # Hai-Tao Zheng Hai-Tao Zheng has 6 papers in our library, in 2023–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jingheng Ye](https://md.research.elamur.ai/free/en/authors/jingheng-ye/), [Jiwei Tang](https://md.research.elamur.ai/free/en/authors/jiwei-tang/), [Deqing Zou](https://md.research.elamur.ai/free/en/authors/deqing-zou/). 6 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5022672030) · [ORCID](https://orcid.org/0000-0001-5128-5649) · [Wikidata](https://www.wikidata.org/wiki/Q130855761) · [**h-index 55**](https://openalex.org/authors/A5022672030) · [442 works](https://openalex.org/works?filter=author.id:A5022672030) · [20,163 citations](https://openalex.org/works?filter=author.id:A5022672030&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/#papers) · [🔗 Cited 605 times in our library](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5973](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5973) 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=Hai-Tao+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hai-Tao+Zheng) · [dblp](https://dblp.org/search?q=Hai-Tao+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Hai-Tao+Zheng) ## Affiliations [🎓**Tsinghua University** Beijing · China 2009–2026 · 225 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2009–2026 · 183 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2021–2026 · 94 papers*current*](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**University of Chicago** Chicago · United States 2017–2026 · 44 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**Tiangong University** Tianjin · China 2026 · 2 papers*current*](https://ror.org/00xsr9m91) · [🏢**China National Petroleum Corporation** Beijing · China 2026 · 1 paper*current*](https://ror.org/05269d038) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Hefei Institutes of Physical Science** Hefei · China 2026 · 1 paper*current*](https://ror.org/046n57345) · [🎓**University of California, Santa Barbara** Santa Barbara · United States 2006–2021 · 70 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🎓**Beihang University** Beijing · China 2010–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback](https://md.research.elamur.ai/free/en/papers/yu-2023-rlhf-v-towards-trustworthy-mllms/)** *(2023 · 217 citations)* Multimodal LLMs often describe things that are not in the image, such as invented objects, wrong counts, or misplaced items. 2. **[EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ye-2024-excgec-benchmark-edit-wise-explainable/)** *(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… 3. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/)** *(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… 4. **[GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment](https://md.research.elamur.ai/free/en/papers/tang-2026-gmsa-enhancing-context-compression-group/)** *(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… 5. **[Read As Human: Compressing Context via Parallelizable Close Reading and Skimming](https://md.research.elamur.ai/free/en/papers/tang-2026-read-as-human-compressing-context/)** *(2026)* Long prompts, such as those produced by retrieval-augmented generation, make LLM inference slow because attention cost grows quadratically. 6. **[FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing](https://md.research.elamur.ai/free/en/papers/ye-2025-feanel-benchmark-fine-grained-error/)** *(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; 6 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](https://md.research.elamur.ai/free/en/papers/yu-2023-rlhf-v-towards-trustworthy-mllms/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Tianyu Yu, Yuan Yao, Haoye Zhang, et al.*2023 · 217 citations* 2. **[CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ↗](https://aclanthology.org/2021.acl-long.181/) 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 yet**Dong Wang et al.*2021 · 132 citations* 3. **[Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ↗](https://aclanthology.org/P19-1430/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ziran Li et al.*2019 · 110 citations* 4. **[Event Detection with Trigger-Aware Lattice Neural Network ↗](https://aclanthology.org/D19-1033/) 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 yet**Ning Ding et al.*2019 · 74 citations* 5. **[EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ye-2024-excgec-benchmark-edit-wise-explainable/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Jingheng Ye, Shang Qin, Yinghui Li, et al.*2024 · 15 citations* 6. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations* 7. **[GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment](https://md.research.elamur.ai/free/en/papers/tang-2026-gmsa-enhancing-context-compression-group/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tang, Zhicheng Zhang, Shunlong Wu, et al.*2026 · 8 citations* 8. **[Read As Human: Compressing Context via Parallelizable Close Reading and Skimming](https://md.research.elamur.ai/free/en/papers/tang-2026-read-as-human-compressing-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tang, Shilei Liu, Zhicheng Zhang, et al.*2026* 9. [**FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing arXiv:2511.22883**Jingheng Ye, Shen Wang, Jiaqi Chen, et al.*2025*](https://md.research.elamur.ai/free/en/papers/ye-2025-feanel-benchmark-fine-grained-error/) ## Co-authors here 12 of 40 co-authors with a page, the most papers together first. - [Jingheng Ye](https://md.research.elamur.ai/free/en/authors/jingheng-ye/) ×4 - [Jiwei Tang](https://md.research.elamur.ai/free/en/authors/jiwei-tang/) ×3 - [Deqing Zou](https://md.research.elamur.ai/free/en/authors/deqing-zou/) ×2 - [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/) ×2 - [Ruitong Liu](https://md.research.elamur.ai/free/en/authors/ruitong-liu/) ×2 - [Shen Wang](https://md.research.elamur.ai/free/en/authors/shen-wang/) ×2 - [Tingwei Lu](https://md.research.elamur.ai/free/en/authors/tingwei-lu/) ×2 - [Zhicheng Zhang](https://md.research.elamur.ai/free/en/authors/zhicheng-zhang/) ×2 - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) - [Haibin Chen](https://md.research.elamur.ai/free/en/authors/haibin-chen/) - [Haoyang Li](https://md.research.elamur.ai/free/en/authors/haoyang-li/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) - [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/): [IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/) - [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/) - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2024](https://md.research.elamur.ai/free/en/venues/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); [101 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/cited-by/). Updated 2 November 2026