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Xinyue Fang

2 accepted papers

2025

Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models

NeurIPS 2025poster

Large language models (LLMs) are now pivotal in real-world applications. Model editing has emerged as a promising paradigm for efficiently modifying LLMs without full retraining. However, current editing approaches face significant limitations due to parameter drift, which stems from inconsistencies…

Cited by 0SourceScholar
2025

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

AAAI 2025technical

LLMs obtain remarkable performance but suffer from hallucinations. Most research on detecting hallucination focuses on questions with short and concrete correct answers that are easy to check faithfulness. Hallucination detections for text generation with open-ended answers are more hard. Some resea…