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Jeff Z. Pan

Jeff Z. Pan has 3 papers in our library, in 2026, most of them on Summarization, Reasoning, Knowledge graphs & ontologies; often with Boyang Xue, Donghong Ji, Ercong Nie.

3 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 49 · 457 works · 7,636 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 196 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7825

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of EdinburghEdinburgh · United Kingdom2020–2026 · 169 paperscurrent🎓University of AberdeenAberdeen · United Kingdom2005–2021 · 223 papers🎓University of ManchesterManchester · United Kingdom2001–2024 · 22 papers🏢Huawei TechnologiesBasingstoke · United Kingdom2019–2026 · 11 papers🎓Chinese University of Hong KongHong Kong · China2024–2026 · 2 papers🎓Zhejiang UniversityHangzhou · China2024–2026 · 2 papers🎓East China University of Science and TechnologyShanghai · China2015–2016 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workReasoning · 1 workSummarization · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning (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…
  2. ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs (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:
  3. Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize (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; 3 with a page here, the others link their original until we summarise them.

  1. Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHai Wan et al.2020 · 230 citations
  2. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning ↗arXiv:2503.19470 · no summary yetMingyang Chen et al.2025 · 99 citations
  3. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
  4. A Semi-automated Ontology Construction for Legal Question Answering ↗New Generation Computing · no summary yetBiralatei Fawei et al.2019 · 46 citations
  5. Evaluating and Improving Graph to Text Generation with Large Language Models ↗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 yetJie He et al.2025 · 10 citations
  6. ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinshuo Liu, Cheng Bi, Meng Wang, et al.2026
  7. Self-Sum: Teaching an Agent to Decide Itself When and What to SummarizeFindings of the Association for Computational LinguisticsHongru Wang, Rui Wang, Jushi Kai, et al.2026
  8. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHaoming Xu et al.2026
  9. Mitigating Context Interference for Reliable and Efficient Search Agents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBoyang Xue et al.2026

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 196 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

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