2 papers
cs.LG2024
ICLERB: In-Context Learning Embedding and Reranker Benchmark
Marie Al Ghossein, Emile Contal, Alexandre Robicquet
In-Context Learning (ICL) enables Large Language Models (LLMs) to perform new tasks by conditioning on prompts with relevant information. Retrieval-Augmented Generation (RAG) enhan…
cs.IR2024
RAGSys: Item-Cold-Start Recommender as RAG System
Emile Contal, Garrin McGoldrick
Large Language Models (LLM) hold immense promise for real-world applications, but their generic knowledge often falls short of domain-specific needs. Fine-tuning, a common approach…