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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Véronique Moriceau

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Open access 2026

ReTaT: A Unified Benchmark for Relation Extraction across Text and Table

ReTaT is a dataset that can be used to train and evaluate systems for extracting relations whose expression spans the two modalities and its quality and suitability were assessed for the joint table-text relation extraction task using Large Language Models (LLMs).

Mohamed Ettaleb, Thibault Ehrhart, Nathalie Aussenac-Gilles et al. · 1 citation

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