🧑‍🔬 Zhen-Hua Ling

🏛️ Affiliations

🎓University of Science and Technology of ChinaHefei · China2005–2026 · 348 paperscurrent🏢Alibaba GroupHangzhou · China2026 · 3 paperscurrent🏢IFlyTekHefei · China2005–2015 · 32 papers🔬Hefei National Center for Physical Sciences at NanoscaleHefei · China2019–2021 · 3 papers

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.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Neural Natural Language Inference Models Enhanced with External Knowledge (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 (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 (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 KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.2018 · 314 citations
2. Corrective Retrieval Augmented GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
3. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 66 citations
4. UniVocal: Unified Speech-Singing Code-Switching Synthesis ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYuFei Shi et al.2026
5. GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHao-Xiang Xu et al.2026

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Jia-Chen Gu ×2
• Diana Inkpen
• Kai-Wei Chang
• Nanyun Peng
• Pan Lu
• Xiaodan Zhu
• 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) ×3: ACL 2018
• Conference on Empirical Methods in Natural Language Processing (EMNLP): 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 →.

Updated 24 October 2026

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