--- title: "Zhen-Hua Ling — author profile and papers — Elamur Research" description: "Zhen-Hua Ling, University of Science and Technology of China: 3 papers on Elamur Research (2018–2024), h-index 46 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhen-hua-ling/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhen-hua-ling/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhen-Hua Ling # Zhen-Hua Ling Zhen-Hua Ling has 3 papers in our library, in 2018–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jia-Chen Gu](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/), [Diana Inkpen](https://md.research.elamur.ai/free/en/authors/diana-inkpen/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/). 3 papers in our library · 2018–2024 [OpenAlex](https://openalex.org/A5059767940) · [ORCID](https://orcid.org/0000-0001-7853-5273) · [Wikidata](https://www.wikidata.org/wiki/Q103824137) · [**h-index 46**](https://openalex.org/authors/A5059767940) · [460 works](https://openalex.org/works?filter=author.id:A5059767940) · [8,869 citations](https://openalex.org/works?filter=author.id:A5059767940&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/#papers) · [🔗 Cited 229 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2905](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2905) 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=Zhen-Hua+Ling) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhen-Hua+Ling) · [dblp](https://dblp.org/search?q=Zhen-Hua+Ling) · [ACL Anthology](https://aclanthology.org/search/?q=Zhen-Hua+Ling) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2005–2026 · 348 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**IFlyTek** Hefei · China 2005–2015 · 32 papers](https://md.research.elamur.ai/free/en/companies/iflytek/) · [🔬**Hefei National Center for Physical Sciences at Nanoscale** Hefei · China 2019–2021 · 3 papers](https://ror.org/01jeedh73) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers Zhen-Hua Ling's papers of 2024](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/year/2024/) ### 2010s [**2018** 1 paper Zhen-Hua Ling's papers of 2018](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/) ## Papers The most cited first (OpenAlex and our library). 1. **[Neural Natural Language Inference Models Enhanced with External Knowledge](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/)** *(2018 · 314 citations)* Neural NLI systems are usually trained end to end, with the implicit assumption that annotated corpora such as SNLI and MultiNLI contain all the inference knowledge a model needs. 2. **[Corrective Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/)** *(2024 · 271 citations)* Retrieval-augmented generation helps LLMs only when the fetched documents are actually relevant. When the retriever fails, irrelevant passages can mislead the generator and cause hallucinations. Most existing pipelines pass every retrieved text along unchecked. CRAG (Corrective RAG) adds a correction layer between… 3. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/)** *(2024 · 66 citations)* Model editing updates facts stored in large language models without full retraining. However, it is usually judged only on whether the edit sticks, generalizes to paraphrases and leaves unrelated facts intact. This EMNLP 2024 paper asks whether such edits quietly damage the models' broader capabilities. The authors… ## All works 5 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. **[Neural Natural Language Inference Models Enhanced with External Knowledge](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.*2018 · 314 citations* 2. [**Corrective Retrieval Augmented Generation arXiv:2401.15884**Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/) 3. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.*2024 · 66 citations* 4. **[UniVocal: Unified Speech-Singing Code-Switching Synthesis ↗](https://aclanthology.org/2026.acl-long.1452/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**YuFei Shi et al.*2026* 5. **[GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling ↗](https://aclanthology.org/2026.acl-long.1319/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hao-Xiang Xu et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Jia-Chen Gu](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/) ×2 - [Diana Inkpen](https://md.research.elamur.ai/free/en/authors/diana-inkpen/) - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) - [Pan Lu](https://md.research.elamur.ai/free/en/authors/pan-lu/) - [Xiaodan Zhu](https://md.research.elamur.ai/free/en/authors/xiaodan-zhu/) - [Yun Zhu](https://md.research.elamur.ai/free/en/authors/yun-zhu/) ## 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/) ×3: [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 229 times (of the 141,840 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/cited-by/). Updated 24 October 2026