Jeff Z. Pan

45 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🗺️ Taxonomy Completionist (71) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🧬 Topic Evolution 🤝 Dynamic Duo (10) 🏆 Keyword Champion (2) 🔥 Unstoppable (7) ⚡ Prolific Year (13) 🚀 Conference Pioneer 💎 Century Club (40) ❓ The Questioner 🗃️ Keyword Collector (195)

Conferences

EMNLP (12) AAAI (11) ACL (8) IJCAI (6) COLING (3) NAACL (2) EACL (1) ICLR (1) IJCNLP (1)

Top co-authors

Jiaoyan Chen (10) Huajun Chen (8) Ru Li (7) Pavlos Vougiouklis (7) Wen Zhang (5) Freddy Lecue (5) Hongru Wang (5) Chenxin Diao (4) Victor Gutierrez Basulto (4) Jie He (4)

Keywords

knowledge graph (11) large language model (11) retrieval-augmented generation (6) contrastive learning (4) zero-shot learning (4) language model (4) pre-trained language model (3) representation learning (3) few-shot learning (3) question answering (3) natural language inference (3) multi-hop question answering (3) transfer learning (2) tool use (2) intent classification (2) knowledge graph embedding (2) embedding learning (2) chain-of-thought reasoning (2) knowledge graph question answering (2) text classification (2)

Papers

Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint) AAAI 2026

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026

TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws AAAI 2026

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents AAAI 2026

Uncovering and Mitigating Transient Blindness in Multimodal Model Editing AAAI 2026

Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation ACL 2025

GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025

Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges ACL 2025

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst ACL 2025

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation ACL 2025

MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps NAACL 2025

Noise-powered Multi-modal Knowledge Graph Representation Framework COLING 2025

TS-SQL: Test-driven Self-refinement for Text-to-SQL EMNLP 2025

From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle ICLR 2025

Don’t Forget the Base Retriever! A Low-Resource Graph-based Retriever for Multi-hop Question Answering EMNLP 2025

Long-Form Information Alignment Evaluation Beyond Atomic Facts EMNLP 2025

Evaluating and Improving Graph to Text Generation with Large Language Models NAACL 2025

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs ACL 2025

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning EMNLP 2024

Knowledge-Aware Neuron Interpretation for Scene Classification AAAI 2024

TacoERE: Cluster-aware Compression for Event Relation Extraction COLING 2024

A Usage-centric Take on Intent Understanding in E-Commerce EMNLP 2024

CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering EMNLP 2024

AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction EMNLP 2024

Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024

Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA EMNLP 2024

Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding AAAI 2023

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification EMNLP 2023

Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs EMNLP 2023

Uncovering Implicit Inferences for Improved Relational Argument Mining EACL 2023

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs IJCAI 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning AAAI 2023

KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments COLING 2022

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs IJCAI 2022

A Knowledge-Guided Framework for Frame Identification ACL 2021

FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction AAAI 2021

A Knowledge-Guided Framework for Frame Identification IJCNLP 2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective IJCAI 2021

Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis AAAI 2020

Augmenting Transfer Learning with Semantic Reasoning IJCAI 2019

Validation of Growing Knowledge Graphs by Abductive Text Evidences AAAI 2019

Learning from Ontology Streams with Semantic Concept Drift IJCAI 2017

Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia ACL 2013

Predicting Knowledge in an Ontology Stream IJCAI 2013