2 papers
cs.CL2026
Evaluating the Utility of Grounding Documents with Reference-Free LLM-based Metrics
Yilun Hua, Giuseppe Castellucci, Peter Schulam +2
Retrieval Augmented Generation (RAG)'s success depends on the utility the LLM derives from the content used for grounding. Quantifying content utility does not have a definitive sp…
cs.IR2025
Generative Product Recommendations for Implicit Superlative Queries
Kaustubh D. Dhole, Nikhita Vedula, Saar Kuzi +3
In Recommender Systems, users often seek the best products through indirect, vague, or under-specified queries, such as "best shoes for trail running". Such queries, also referred…