--- title: "Kaize Ding · Northwestern University — author profile and papers" description: "Kaize Ding, Northwestern University: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/kaize-ding/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaize-ding/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaize Ding # Kaize Ding Kaize Ding has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Haiyan Zhao](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/), [Han Liu](https://md.research.elamur.ai/free/en/authors/han-liu/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139730413) · [**h-index 1**](https://openalex.org/authors/A5139730413) · [8 works](https://openalex.org/works?filter=author.id:A5139730413) · [1 citations](https://openalex.org/works?filter=author.id:A5139730413&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/kaize-ding/#papers) · [🔗 Cited 43 times in our library](https://md.research.elamur.ai/free/en/authors/kaize-ding/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7910](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7910) 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=Kaize+Ding) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaize+Ding) · [dblp](https://dblp.org/search?q=Kaize+Ding) · [ACL Anthology](https://aclanthology.org/search/?q=Kaize+Ding) ## Affiliations [🎓**Northwestern University** Evanston · United States 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/northwestern-university/) · [🎓**University of Southern California** Los Angeles · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**University of Washington** Seattle · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/kaize-ding/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/kaize-ding/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?](https://md.research.elamur.ai/free/en/papers/jin-2025-exploring-concept-depth-how-large/)** *(2025 · 36 citations)* The paper asks where inside a large language model knowledge of different difficulty becomes linearly readable. 2. **[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-survey-large-language-models-text/)** *(2026 · 7 citations)* This survey reviews how large language models are used to design molecules from text instructions. It covers two tasks: generating new molecules from scratch and editing an existing molecule to improve its properties. The authors limit the scope to models with over 1B parameters that directly output molecular… 3. **[Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection](https://md.research.elamur.ai/free/en/papers/pan-2026-explainable-fine-grained-safeguarding-llm/)** *(2026 · 2 citations)* LLM-based multi-agent systems (MAS) can be compromised when one or a few agents are hijacked through prompt injection, memory poisoning, or tool exploitation, and their harmful outputs then spread to other agents. 4. **[CoAct: Co-Active LLM Preference Learning with Human-AI Synergy](https://md.research.elamur.ai/free/en/papers/xu-2026-coact-co-active-llm-preference/)** *(2026 · 1 citation)* Preference-based alignment of LLMs depends on human-labelled response pairs, which are costly to collect. Self-rewarding pipelines produce such pairs cheaply, but they can amplify the model's own mistakes. Active preference learning keeps labels trustworthy, yet it leaves most of the unlabeled pool unused. CoAct… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?](https://md.research.elamur.ai/free/en/papers/jin-2025-exploring-concept-depth-how-large/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.*2025 · 36 citations* 2. **[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-survey-large-language-models-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqing Wang, Kexin Zhang, Zihan Zhao, et al.*2026 · 7 citations* 3. **[Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection](https://md.research.elamur.ai/free/en/papers/pan-2026-explainable-fine-grained-safeguarding-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjun Pan, Yixin Liu, Rui Miao, et al.*2026 · 2 citations* 4. **[Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators ↗](https://doi.org/10.1609/aaai.v40i26.39343) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhengyu Hu et al.*2026 · 2 citations* 5. **[CoAct: Co-Active LLM Preference Learning with Human-AI Synergy](https://md.research.elamur.ai/free/en/papers/xu-2026-coact-co-active-llm-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.*2026 · 1 citation* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Haiyan Zhao](https://md.research.elamur.ai/free/en/authors/haiyan-zhao/) - [Han Liu](https://md.research.elamur.ai/free/en/authors/han-liu/) - [Jingyuan Huang](https://md.research.elamur.ai/free/en/authors/jingyuan-huang/) - [Kai Mei](https://md.research.elamur.ai/free/en/authors/kai-mei/) - [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/) - [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) - [Mihir Parmar](https://md.research.elamur.ai/free/en/authors/mihir-parmar/) - [Mingyu Jin](https://md.research.elamur.ai/free/en/authors/mingyu-jin/) - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) - [Qinkai Yu](https://md.research.elamur.ai/free/en/authors/qinkai-yu/) - [Rui Miao](https://md.research.elamur.ai/free/en/authors/rui-miao/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kaize-ding/cited-by/). Updated 31 October 2026