Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models

Documenti analoghi

• Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
  di: Peng, Zhiyuan, et al.
  Pubblicazione: (2023)
• RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal Norms
  di: Ishihara, Yuya, et al.
  Pubblicazione: (2025)
• Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
  di: Abaho, Micheal, et al.
  Pubblicazione: (2024)
• Retrieval-augmented Prompt Learning for Pre-trained Foundation Models
  di: Chen, Xiang, et al.
  Pubblicazione: (2025)
• Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
  di: Meng, Chuan, et al.
  Pubblicazione: (2025)