--- title: "Weizhi Zhang — author profile and papers — Elamur Research" description: "Weizhi Zhang, University of Washington: 6 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/weizhi-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weizhi-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weizhi Zhang # Weizhi Zhang Weizhi Zhang has 6 papers in our library, in 2025–2026, 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/); often with [Henry Peng Zou](https://md.research.elamur.ai/free/en/authors/henry-peng-zou/), [Yankai Chen](https://md.research.elamur.ai/free/en/authors/yankai-chen/), [Hanrong Zhang](https://md.research.elamur.ai/free/en/authors/hanrong-zhang/). 6 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5026830308) · [ORCID](https://orcid.org/0000-0003-4067-7588) · [**h-index 4**](https://openalex.org/authors/A5026830308) · [12 works](https://openalex.org/works?filter=author.id:A5026830308) · [175 citations](https://openalex.org/works?filter=author.id:A5026830308&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/weizhi-zhang/#papers) · [🔗 Cited 113 times in our library](https://md.research.elamur.ai/free/en/authors/weizhi-zhang/cited-by/) · [⭐ Paper Stars ranking: #7379](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7379) 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=Weizhi+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Weizhi+Zhang) · [dblp](https://dblp.org/search?q=Weizhi+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Weizhi+Zhang) ## Affiliations [🎓**University of Illinois Chicago** Chicago · United States 2023–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) · [🎓**University of Virginia** Charlottesville · United States 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) · [🎓**University of Washington** Seattle · United States 2025 · 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 · 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/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/weizhi-zhang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/weizhi-zhang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Model Agent: A Survey on Methodology, Applications and Challenges](https://md.research.elamur.ai/free/en/papers/luo-2025-large-language-model-agent-survey/)** *(2025 · 62 citations)* Work on LLM-based agents has grown quickly but remains scattered. Existing reviews tend to cover one slice, such as games, deployment settings, multimodality or security, or they give broad overviews without a method-level breakdown. Luo et al. address this with a survey built around how agents are engineered. Its… 2. **[WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2025-webagent-r1-training-web-agents/)** *(2025 · 36 citations)* Reinforcement learning has improved LLMs mostly on single-turn problems like math. Web agents are harder to train this way: they must make long sequences of decisions on changing pages, and earlier RL approaches for this setting depended on offline or off-policy pipelines with extra components. WebAgent-R1 is a… 3. **[Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)** *(2025 · 17 citations)* Large language models face two linked weaknesses. Their stored knowledge is fixed and can be wrong, and they struggle with problems that need several reasoning steps. Retrieval-Augmented Generation (RAG) addresses the first, and reasoning techniques such as Chain-of-Thought address the second. This survey argues that… 4. **[LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey](https://md.research.elamur.ai/free/en/papers/zou-2026-llm-based-human-agent-collaboration/)** *(2026 · 12 citations)* Fully autonomous LLM agents remain hard to trust in practice. They hallucinate, especially across chained actions. They also falter on long, expertise-heavy tasks and raise safety, bias and accountability concerns in areas such as finance or healthcare. This survey argues for keeping people in the loop and gives what… 5. **[GAM: Hierarchical Graph-based Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/)** *(2026 · 5 citations)* LLM agents in long conversations must absorb new information without letting passing chatter corrupt what they already know. 6. **[LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering](https://md.research.elamur.ai/free/en/papers/zhu-2026-llm-memcluster-empowering-large-language/)** *(2026)* LLMs can group texts by meaning, but using them directly as clustering engines runs into two obstacles. Large corpora must be fed in pieces, and the model forgets earlier decisions between calls. The model also has no built-in way to decide how coarse or fine the clusters should be. Most prior work therefore keeps… ## Co-authors here 12 of 38 co-authors with a page, the most papers together first. - [Henry Peng Zou](https://md.research.elamur.ai/free/en/authors/henry-peng-zou/) ×3 - [Yankai Chen](https://md.research.elamur.ai/free/en/authors/yankai-chen/) ×3 - [Hanrong Zhang](https://md.research.elamur.ai/free/en/authors/hanrong-zhang/) ×2 - [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/) ×2 - [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) ×2 - [Wei-Chieh Huang](https://md.research.elamur.ai/free/en/authors/wei-chieh-huang/) ×2 - [Xiao Luo](https://md.research.elamur.ai/free/en/authors/xiao-luo/) ×2 - [Yaozu Wu](https://md.research.elamur.ai/free/en/authors/yaozu-wu/) ×2 - [Yusheng Zhao](https://md.research.elamur.ai/free/en/authors/yusheng-zhao/) ×2 - [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/) - [Bohan Wu](https://md.research.elamur.ai/free/en/authors/bohan-wu/) - [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/): [Workshop on Towards Knowledgeable Foundation Models 2026](https://md.research.elamur.ai/free/en/venues/knowfm/2026/) ## Cited by Papers of our library cite their works 113 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/weizhi-zhang/cited-by/). Updated 2 November 2026