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Yannis Karmim

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Multi-Hop Knowledge Composition is Bound by Pretraining Exposure

Large Language Models fail at implicit multi-hop reasoning: a model answers"When was $X$ born?"and"Who is $Y$'s closest friend?"correctly but fails on"When was $Y$'s closest friend born?"in a single forward pass, even when both facts are perfectly memorized and individually retrievable. We study this failure in a contr...

Yannis Karmim, Luis Martí, Djamé Seddah et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question Answering

G-Retriever is competitive with RAG and reduces the error of the base LLM by 72\% with a standard KG and 78\% with a benchmark-aware variant, the gap to RAG narrowing further as the graph is oriented toward task-relevant content.

Pablo Poulenard, Yannis Karmim, Valentin Barrière · 0 citations

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