--- title: "Zifeng Wang — author profile and papers — Elamur Research" description: "Zifeng Wang, East China University of Science and Technology: 6 papers on Elamur Research (2024–2026), h-index 14 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zifeng-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zifeng-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zifeng Wang # Zifeng Wang Zifeng Wang has 6 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chen-Yu Lee](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/), [Long Le](https://md.research.elamur.ai/free/en/authors/long-le/), [Jimeng Sun](https://md.research.elamur.ai/free/en/authors/jimeng-sun/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100733700) · [ORCID](https://orcid.org/0000-0002-8119-5369) · [**h-index 14**](https://openalex.org/authors/A5100733700) · [33 works](https://openalex.org/works?filter=author.id:A5100733700) · [2,750 citations](https://openalex.org/works?filter=author.id:A5100733700&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/zifeng-wang/#papers) · [🔗 Cited 189 times in our library](https://md.research.elamur.ai/free/en/authors/zifeng-wang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5037](https://md.research.elamur.ai/free/en/paper-stars/page/51/#star-5037) 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=Zifeng+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zifeng+Wang) · [dblp](https://dblp.org/search?q=Zifeng+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zifeng+Wang) ## Affiliations [🎓**East China University of Science and Technology** Shanghai · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) · [🎓**Wuhan University** Wuhan · China 2014–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2015–2019 · 7 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🔬**State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing** Wuhan · China 2014–2016 · 5 papers](https://ror.org/02bpap860) · [🏢**Google** Mountain View · United States 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) 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).[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/) · [Computer Vision and Pattern Recognition · 1 work](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 4 Research subjects and languages the work is about.[Language models & pretraining · 2 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/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zifeng-wang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/zifeng-wang/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zifeng-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2024-mindmap-knowledge-graph-prompting-sparks/)** *(2024 · 158 citations)* LLMs struggle to absorb new knowledge, often hallucinate, and do not show how they reach answers. These problems matter most in high-stakes settings such as medical diagnosis. MindMap is a plug-and-play prompting pipeline that pairs a frozen LLM, such as GPT-3.5 or GPT-4, with a knowledge graph. It works in three… 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. **[Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling](https://md.research.elamur.ai/free/en/papers/xu-2024-speculative-knowledge-distillation-bridging-teacher/)** *(2024 · 41 citations)* Distilling a large language model into a smaller one runs into two failure modes. Supervised KD trains on a fixed set of outputs, so it never sees the kind of text the student produces at inference time. On-policy KD trains on the student's own generations, but early on these are often poor and unfamiliar to the… 4. **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/)** *(2025 · 16 citations)* LLM-based agents and test-time search methods often fail on "natural planning" tasks, such as scheduling meetings or planning trips described in plain language. 5. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/)** *(2026 · 14 citations)* This position paper by Feng et al. (ACL 2026) argues that a single general-purpose LLM cannot reliably handle complex, context-dependent, or subjective settings. It contributes no new dataset or model. Instead, it makes a conceptual case that any one model leaves gaps on three fronts. It misses parts of real-world… 6. **[s3: You Don't Need That Much Data to Train a Search Agent via RL](https://md.research.elamur.ai/free/en/papers/jiang-2025-s3-you-don-t-need/)** *(2025 · 12 citations)* Training LLM search agents with reinforcement learning usually takes one of two routes. Some methods reward retrieval metrics such as NDCG, which may not reflect answer quality. Others fine-tune a single model to both search and answer, which mixes the two skills and rules out frozen or proprietary generators. The… ## All works 8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2024-mindmap-knowledge-graph-prompting-sparks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilin Wen, Zifeng Wang, Jimeng Sun*2024 · 158 citations* 2. **[Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ↗](https://aclanthology.org/2024.findings-acl.890/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Cheng-Yu Hsieh et al.*2024 · 61 citations* 3. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Tan, Jun Yan, I-Hung Hsu, et al.*2025 · 46 citations* 4. [**Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling arXiv:2410.11325**Wenda Xu, Rujun Han, Zifeng Wang, et al.*2024 · 41 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-speculative-knowledge-distillation-bridging-teacher/) 5. **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mihir Parmar, Xin Liu, Palash Goyal, et al.*2025 · 16 citations* 6. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.*2026 · 14 citations* 7. **[s3: You Don't Need That Much Data to Train a Search Agent via RL](https://md.research.elamur.ai/free/en/papers/jiang-2025-s3-you-don-t-need/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.*2025 · 12 citations* 8. **[Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗](https://doi.org/10.4230/lipics.esem.2026.62) arXiv (Cornell University) · no summary yet**Jiang, Pengcheng et al.*2025 · 3 citations* ## Co-authors here 12 of 32 co-authors with a page, the most papers together first. - [Chen-Yu Lee](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/) ×3 - [Long Le](https://md.research.elamur.ai/free/en/authors/long-le/) ×3 - [Jimeng Sun](https://md.research.elamur.ai/free/en/authors/jimeng-sun/) ×2 - [Rujun Han](https://md.research.elamur.ai/free/en/authors/rujun-han/) ×2 - [Tomas Pfister](https://md.research.elamur.ai/free/en/authors/tomas-pfister/) ×2 - [Yanfei Chen](https://md.research.elamur.ai/free/en/authors/yanfei-chen/) ×2 - [Alisa Liu](https://md.research.elamur.ai/free/en/authors/alisa-liu/) - [Chitta Baral](https://md.research.elamur.ai/free/en/authors/chitta-baral/) - [Hamid Palangi](https://md.research.elamur.ai/free/en/authors/hamid-palangi/) - [Hootan Nakhost](https://md.research.elamur.ai/free/en/authors/hootan-nakhost/) - [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/) - [I-Hung Hsu](https://md.research.elamur.ai/free/en/authors/i-hung-hsu/) ## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 - Findings of the Association for Computational Linguistics: ACL 2024 ## Cited by Papers of our library cite their works 189 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zifeng-wang/cited-by/). Updated 30 October 2026