arXiv AI By Nicolas Turenne, Youcef Sklab, Eric Chenin, Jean-Daniel Zucker

An Agentic Framework Using Rules and LLMs for Embedding and Annotating Descriptive Document Layouts: A Plant Science Use Case

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arXiv:2608. 14587v1 Announce Type: new Abstract: Background: Recent advances in information retrieval (IR) leverage both dense and sparse representations, large language models (LLMs), and specialized retrieval models to improve ranking accuracy, relevance, and cross-lingual performance.

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TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering

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VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy

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