ICLERB evaluates retrievers by their effect on LLM in-context learning accuracy, and the RLRAIF-trained model cm-rerank-mxbai-rlaif-v0.1 tops the benchmark with only 10k DPO queries.
RAGSys: Item-Cold-Start Recommender as RAG System
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ICLERB: In-Context Learning Embedding and Reranker Benchmark
ICLERB evaluates retrievers by their effect on LLM in-context learning accuracy, and the RLRAIF-trained model cm-rerank-mxbai-rlaif-v0.1 tops the benchmark with only 10k DPO queries.