206 citations · 277 across the 18 of their papers we have counts for
3 papers · 1 filter
A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation
Lihong He, Lucian Popa, Marina Danilevsky
Query clarification is essential for retrieval-augmented generation (RAG) systems that face ambiguous user queries. We consider multi-turn grounded conversational scenarios where a…
A Library of LLM Intrinsics for Retrieval-Augmented Generation
Marina Danilevsky, Kristjan Greenewald, Chulaka Gunasekara +13
In the developer community for large language models (LLMs), there is not yet a clean pattern analogous to a software library, to support very large scale collaboration. Even for t…
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context
Hui Wan, Hongkang Li, Songtao Lu +2
The integration of external personalized context information into document-grounded conversational systems has significant potential business value, but has not been well-studied.…