--- title: "Zhen Tan — author profile and papers — Elamur Research" description: "Zhen Tan, University of North Carolina at Chapel Hill: 7 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/zhen-tan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhen-tan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhen Tan # Zhen Tan Zhen Tan has 7 papers in our library, in 2024–2026, 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/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Song Wang](https://md.research.elamur.ai/free/en/authors/song-wang/), [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/), [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/). 7 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139777289) · [**h-index 1**](https://openalex.org/authors/A5139777289) · [4 works](https://openalex.org/works?filter=author.id:A5139777289) · [4 citations](https://openalex.org/works?filter=author.id:A5139777289&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-tan/#papers) · [🔗 Cited 177 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-tan/cited-by/) · [⭐ Paper Stars ranking: #4448](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4448) 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+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhen+Tan) · [dblp](https://dblp.org/search?q=Zhen+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Zhen+Tan) ## Affiliations [🎓**Arizona State University** Tempe · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 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/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhen-tan/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/zhen-tan/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhen-tan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)** *(2024 · 262 citations)* Labeling or generating training data by hand is slow, expensive and often requires domain experts. This survey examines how LLMs such as GPT-4, Gemini and LLaMA-2 can automate that work. It is a literature review, so it reports no new experiments. The authors frame the setting with two roles: an annotator model A… 2. **[In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents](https://md.research.elamur.ai/free/en/papers/tan-2025-prospect-retrospect-reflective-memory-management/)** *(2025 · 46 citations)* LLM dialogue agents keep no state between sessions, so long-term personalization depends on external memory. 3. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/)** *(2024 · 30 citations)* Pre-trained language models (PLMs) used for knowledge graph completion (KGC) depend on textual side information, such as Wikipedia articles or synset definitions. 4. **[Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens](https://md.research.elamur.ai/free/en/papers/zhao-2026-is-chain-thought-reasoning-llms/)** *(2026 · 21 citations)* The paper asks why chain-of-thought (CoT) prompting sometimes yields convincing step-by-step reasoning and sometimes collapses. 5. **[Learning from Diverse Reasoning Paths with Routing and Collaboration](https://md.research.elamur.ai/free/en/papers/lei-2025-learning-diverse-reasoning-paths-routing/)** *(2025 · 11 citations)* Compact student models trained by black-box distillation usually see only one teacher rationale per question, which captures little of the teacher's reasoning repertoire. 6. **[AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction](https://md.research.elamur.ai/free/en/papers/wang-2025-anymac-cascading-flexible-multi-agent/)** *(2025 · 10 citations)* LLM-based multi-agent systems usually link agents through fixed or learned graphs, often DAGs. These graphs allow each agent to be used only once per round and let agents see only their neighbours' messages. AnyMAC replaces the graph with a sequence. At each step, Next-Agent Prediction (NAP) picks which role to call… 7. **[Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction](https://md.research.elamur.ai/free/en/papers/shen-2026-metacognitive-self-correction-multi-agent/)** *(2026 · 3 citations)* LLM-based multi-agent systems (MAS) are fragile: one agent's mistake can spread through the collaboration and derail the whole run. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Song Wang](https://md.research.elamur.ai/free/en/authors/song-wang/) ×4 - [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/) ×4 - [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) ×3 - [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/) ×3 - [Jundong Li](https://md.research.elamur.ai/free/en/authors/jundong-li/) ×3 - [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/) ×2 - [Zihan Chen](https://md.research.elamur.ai/free/en/authors/zihan-chen/) ×2 - [Hamid Palangi](https://md.research.elamur.ai/free/en/authors/hamid-palangi/) - [I-Hung Hsu](https://md.research.elamur.ai/free/en/authors/i-hung-hsu/) - [Jun Yan](https://md.research.elamur.ai/free/en/authors/jun-yan/) - [Long Le](https://md.research.elamur.ai/free/en/authors/long-le/) - [Lu Cheng](https://md.research.elamur.ai/free/en/authors/lu-cheng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2, [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2, [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 177 times (of the 149,439 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhen-tan/cited-by/). Updated 31 October 2026