--- title: "Jeff Z. Pan · University of Edinburgh — author profile and papers" description: "Jeff Z. Pan, University of Edinburgh: 6 papers on Elamur Research (2025–2026), h-index 49 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jeff-z-pan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jeff-z-pan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jeff Z. Pan # Jeff Z. Pan Jeff Z. Pan 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/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/), [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/), [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/). 6 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5066422711) · [ORCID](https://orcid.org/0000-0002-9779-2088) · [Wikidata](https://www.wikidata.org/wiki/Q130835253) · [**h-index 49**](https://openalex.org/authors/A5066422711) · [457 works](https://openalex.org/works?filter=author.id:A5066422711) · [7,636 citations](https://openalex.org/works?filter=author.id:A5066422711&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/#papers) · [🔗 Cited 196 times in our library](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7133](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7133) 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=Jeff+Z.+Pan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jeff+Z.+Pan) · [dblp](https://dblp.org/search?q=Jeff+Z.+Pan) · [ACL Anthology](https://aclanthology.org/search/?q=Jeff+Z.+Pan) ## Affiliations [🎓**University of Edinburgh** Edinburgh · United Kingdom 2020–2026 · 169 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🎓**University of Aberdeen** Aberdeen · United Kingdom 2005–2021 · 223 papers](https://md.research.elamur.ai/free/en/universities/university-of-aberdeen/) · [🎓**University of Manchester** Manchester · United Kingdom 2001–2024 · 22 papers](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🏢**Huawei Technologies** Basingstoke · United Kingdom 2019–2026 · 11 papers](https://ror.org/056gzgs71) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2024–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Zhejiang University** Hangzhou · China 2024–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**East China University of Science and Technology** Shanghai · China 2015–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) 🧭 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/) · [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/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/chen-2025-research-learning-reason-search-llms/)** *(2025 · 99 citations)* Multi-hop questions force an LLM to look up information several times and decide at each step what to query next. 2. **[Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yan-2026-memory-r1-enhancing-large-language/)** *(2026 · 49 citations)* LLMs lose information that falls outside their context window. Systems that add an external memory bank usually depend on fixed heuristics or prompted LLMs to choose what to store and retrieve, and nothing in that choice is trained against answer correctness. Memory-R1 addresses this with reinforcement learning… 3. **[Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency](https://md.research.elamur.ai/free/en/papers/xu-2026-illusions-confidence-diagnosing-llm-truthfulness/)** *(2026)* LLMs can answer a fact consistently and still drop it once the prompt contains misleading peer answers or documents. 4. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/)** *(2026)* Multi-turn LLM search agents repeatedly query a retriever and add the returned documents to their working context. 5. **[ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-odl-templlm-ontology-guided-description/)** *(2026)* LLMs often fail at temporal question answering because they must work out event orderings implicitly from raw context. They miss relations and are confused by irrelevant ones. ODL-TempLLM is a neuro-symbolic pipeline that moves this work outside the model. It has three stages: 6. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/)** *(2026)* Agents that tackle long tasks pile up reasoning steps, actions and observations. Their context grows noisy and expensive to process. Common fixes compress history on a fixed schedule or hand the job to an external model. These approaches ignore where the agent actually is in the task and can discard crucial details.… ## All works 9 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. **[Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis ↗](https://doi.org/10.1609/aaai.v34i05.6447) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hai Wan et al.*2020 · 230 citations* 2. **[ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/chen-2025-research-learning-reason-search-llms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Mingyang Chen, Linzhuang Sun, Tianpeng Li, et al.*2025 · 99 citations* 3. **[Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yan-2026-memory-r1-enhancing-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.*2026 · 49 citations* 4. **[A Semi-automated Ontology Construction for Legal Question Answering ↗](https://doi.org/10.1007/s00354-019-00070-2) New Generation Computing · no summary yet**Biralatei Fawei et al.*2019 · 46 citations* 5. **[Evaluating and Improving Graph to Text Generation with Large Language Models ↗](https://aclanthology.org/2025.naacl-long.513/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Jie He et al.*2025 · 10 citations* 6. **[Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency](https://md.research.elamur.ai/free/en/papers/xu-2026-illusions-confidence-diagnosing-llm-truthfulness/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoming Xu, Ningyuan Zhao, Yunzhi Yao, et al.*2026* 7. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyang Xue, Bin Wu, Shuofei Qiao, et al.*2026* 8. **[ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-odl-templlm-ontology-guided-description/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinshuo Liu, Cheng Bi, Meng Wang, et al.*2026* 9. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongru Wang, Rui Wang, Jushi Kai, et al.*2026* ## Co-authors here 12 of 39 co-authors with a page, the most papers together first. - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) ×3 - [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/) ×2 - [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/) ×2 - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×2 - [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/) - [Amos Storkey](https://md.research.elamur.ai/free/en/authors/amos-storkey/) - [Bin Wu](https://md.research.elamur.ai/free/en/authors/bin-wu/) - [Chenzheng Zhu](https://md.research.elamur.ai/free/en/authors/chenzheng-zhu/) - [Donghong Ji](https://md.research.elamur.ai/free/en/authors/donghong-ji/) - [Emine Yilmaz](https://md.research.elamur.ai/free/en/authors/emine-yilmaz/) - [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4 - [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/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) - New Generation Computing - Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 196 times (of the 149,439 papers whose bibliographies we read); [65 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/cited-by/). Updated 2 November 2026