Jeff Pan
Professor
Researches knowledge computing, including knowledge graphs, ontology reasoning and the combination of knowledge graphs with large language models.
Jeff Pan's lab at Edinburgh works on knowledge, QA & retrieval, large language models and graph mining & networks. 83 papers since 2023, 44 at top venues, mostly ACL and EMNLP.
At a glance
- papers, 2023–2026
- 22/ year
- at T1 venues
- 53%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 17 papers2026 · T1 16 · collecting
- 23 papers2025 · T1 10
- 21 papers2024 · T1 10
- 22 papers2023 · T1 8
T1 venuesOtherVenues: ACL, EMNLP, AAAI, Findings of ACL, NeurIPS
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval32 papers
- Large language models28 papers
- knowledge23 papers
- Graph mining & networks13 papers
- knowledge graphs7 papers
Paper list
From the lab homepage.
202617 papers
- ACL (T1)Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding
- EMNLP (T1)From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs
- EMNLP (T1)Gnosis Deepsearch: Structured Search Space Navigation for Complex QA
- ACL (T1)Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
- ICML (T1)InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
- AAAI (T1)MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
- ACL (T1)Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
- ICLR (T1)Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
- ACL (T1)MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
- ACL (T1)Mitigating Context Interference for Reliable and Efficient Search Agents
- ACL (T1)ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs
- AAAI (T1)ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference
202523 papers
- NeurIPS (T1)A Controllable Examination for Long-Context Language Models
- TKDE (T1)Atomic Fact Decomposition Helps Attributed Question Answering
- ACL (T1)Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
- Journal of Neural NetworksCollaborate large and small language models for multi-modal emergency rumor detection
- ACM MMDark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning
- ECAIDecomposing and Revising What Language Models Generate
- NAACL (T1)Evaluating and Improving Graph to Text Generation with Large Language Models
- ICLR (T1)From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle
- Findings of ACLGeAR: Graph-enhanced Agent for Retrieval-augmented Generation
- Findings of ACLGenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
- Information FusionKnowledge Graphs for Multi-modal Learning: Survey and Perspective
- Proceedings of the Conference on Empirical Methods in Natural Language Processing: EMNLPLong-Form Information Alignment Evaluation Beyond Atomic Facts
202421 papers
- SIGIR (T1)A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers
- EMNLP (T1)A Usage-centric Take on Intent Understanding in E-Commerce
- Findings of ACLAn Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
- EMNLP (T1)AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
- EACLArcher: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning
- Knowledge-Based SystemsCollaborate SLM and LLM with Latent Answers for Event Detection
- EMNLP (T1)CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
- SIGIR (T1)Empowering Large Language Models: Tool Learning for Real-world Interaction
- COLMEvaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models
- EMNLP (T1)Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
- EMNLP (T1)Inference Helps PLMs Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
- Findings of ACLInstructEd: Soft-Instruction Tuning for Model Editing with Hops
202322 papers
- Journal of World Wide Web: Internet and Web Information SystemsAn Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
- Journal of Web SemanitcsBenchmarking Knowledge-driven Zero-shot Learning
- ACL (T1)BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
- Findings of the Conference on Empirical Methods in Natural Language ProcessingCode-Switching with Word Senses for Pretraining in Neural Machine Translation
- AAAI (T1)DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
- AAAI (T1)Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
- JCNLP-AACLFastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing
- IJCAI (T1)Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
- CIKM (T1)HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion
- Findings of the Conference on Empirical Methods in Natural Language ProcessingImproving Sequential Model Editing with Fact Retrieval
- Findings of the Conference on Empirical Methods in Natural Language ProcessingInstances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
- SIGIR (T1)KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction
Where alumni went
Alumni are not listed on the lab homepage.
Apply to EdinburghFall 2027
Not announced yet
Informatics PhD
- Round
- Rolling (funding consideration)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Not yet confirmed for this intake.
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