Ning Pang — accepted AI-conference papers

2026

Multi-granularity Temporal Knowledge Editing over Large Language Models

Simiao Zhao, Ning Pang, Zhen Tan, Yanli Hu, Weidong Xiao, Xiang Zhao

AAAI 2026technical

The evolving worldly dynamics necessitate continuous revision and updating of knowledge within Large Language Models (LLMs), driving the development of Knowledge Editing (KE) techniques. Recently, a novel paradigm of Temporal Knowledge Editing (TKE) has been proposed, emphasizing that models deploye

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2025

Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection

Si Miao Zhao, Zhen Tan, Ning Pang, Wei Dong Xiao, Xiang Zhao

COLING 2025main

Continual Few-shot Relation Extraction (CFRE) aims to continually learn new relations from limited labeled data while preserving knowledge about previously learned relations. Facing the inherent issue of catastrophic forgetting, previous approaches predominantly rely on memory replay strategies. How…

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