Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency

Ähnliche Einträge

• How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
  von: Doostmohammadi, Ehsan, et al.
  Veröffentlicht: (2024)
• On Retrieval Augmentation and the Limitations of Language Model Training
  von: Chiang, Ting-Rui, et al.
  Veröffentlicht: (2023)
• ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
  von: Shi, Yunxiao, et al.
  Veröffentlicht: (2024)
• Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
  von: Xu, Yilong, et al.
  Veröffentlicht: (2025)
• The Compressor-Retriever Architecture for Language Model OS
  von: Yang, Yuan, et al.
  Veröffentlicht: (2024)