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Separating Semantic Competition from Context Length in RAG Reading

Paper on evaluating Retrieval-Augmented Generation (RAG) systems.

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Separating Semantic Competition from Context Length in RAG Reading

By Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh, Rohit Alekar, Cien Zhang, Svetlana Karslioglu, Akash VishwakarmaarXiv
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The authors introduce a matched-control protocol to isolate the effect of semantic competition on RAG reading performance. They apply this protocol to two compact open models on SQuAD and report improvements in F1, answer inclusion, and exact match scores.

The results suggest that the competition effect is distinct from context length.

Abstract

The authors introduce a matched-control protocol to isolate the effect of semantic competition on RAG reading performance. They apply this protocol to two compact open models on SQuAD and report improvements in F1, answer inclusion, and exact match scores. The results suggest that the competition effect is distinct from context length.

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rag readingsemantic competitioncontext lengthevaluation protocolsquad datasetLarge Language ModelsRetrieval & RAGSemantic InteroperabilityContent Engineering
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