5 citations · 6 across the 18 of their papers we have counts for
4 papers · 2 filters
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
Jingcheng Deng, Zihao Wei, Liang Pang +3
Recent knowledge editing methods have primarily focused on modifying structured knowledge in large language models. However, this task setting overlooks the fact that a significant…
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
Zihao Wei, Jingcheng Deng, Liang Pang +3
The extensive utilization of large language models (LLMs) underscores the crucial necessity for precise and contemporary knowledge embedded within their intrinsic parameters. Exist…
Stable Knowledge Editing in Large Language Models
Zihao Wei, Liang Pang, Hanxing Ding +3
Efficient knowledge editing of large language models is crucial for replacing obsolete information or incorporating specialized knowledge on a large scale. However, previous method…
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
Hanxing Ding, Liang Pang, Zihao Wei +2
Hallucinations present a significant challenge for large language models (LLMs). The utilization of parametric knowledge in generating factual content is constrained by the limited…