Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text

NeurIPSSpotlight2025

Authors
Zhange Zhang, Zhicheng Geng, Yuqing Ma, Tianbo Wang, Kai Lv, Xianglong Liu
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Large Language Models (LLMs) have demonstrated broad applications but suffer from issues like hallucinations, erroneous outputs and outdated knowledge…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

large language model language model hallucination graph llm

← All NeurIPS 2025 Spotlight papers · Browse the whole archive