Knowledge editing has been increasingly adopted to correct the false or outdated
knowledge in Large Language Models (LLMs). Meanwhile, one critical but under-explored …

Large Language Models (LLMs) suffer from hallucinations, referring to the non-factual
information in generated content, despite their superior capacities across tasks. Meanwhile …

General-purpose large language models (LLMs) are progressively expanding both in scale
and access to unpublic training data. This has led to notable progress in a variety of AI …

Text summarization, a key natural language generation (NLG) task, is vital in various
domains. However, the high cost of inaccurate summaries in risk-critical applications …