Revisiting RAG Retrievers: An Information Theoretic Benchmark

Documenti analoghi

• Tuning-Free LLM Can Build A Strong Recommender Under Sparse Connectivity And Knowledge Gap Via Extracting Intent
  di: Zheng, Wenqing, et al.
  Pubblicazione: (2025)
• QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
  di: Zhang, Kepu, et al.
  Pubblicazione: (2025)
• JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation
  di: Yang, Ke, et al.
  Pubblicazione: (2025)
• Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
  di: Upadhyay, Shivani, et al.
  Pubblicazione: (2026)
• Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
  di: Uapadhyay, Rishabh, et al.
  Pubblicazione: (2025)