Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models

Documenti analoghi

• Layer-wise Regularized Dropout for Neural Language Models
  di: Ni, Shiwen, et al.
  Pubblicazione: (2024)
• Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
  di: Chen, Dingwei, et al.
  Pubblicazione: (2025)
• Training on the Benchmark Is Not All You Need
  di: Ni, Shiwen, et al.
  Pubblicazione: (2024)
• E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
  di: Hou, Jinchang, et al.
  Pubblicazione: (2024)
• MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property
  di: Ni, Shiwen, et al.
  Pubblicazione: (2024)