CORAL uses an agentic loop to adaptively refine retrieval corpora and queries in multilingual RAG based on evidence critique, yielding up to 3.58 percentage point accuracy gains on low-resource language cultural QA benchmarks.
InProceedings of the 63rd Annual Meet- ing of the Association for Computational Linguistics (Volume 2: Short Papers), pages 313–330, Vienna, Austria
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CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
CORAL uses an agentic loop to adaptively refine retrieval corpora and queries in multilingual RAG based on evidence critique, yielding up to 3.58 percentage point accuracy gains on low-resource language cultural QA benchmarks.
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CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
CroSearch-R1 applies search-augmented RL with cross-lingual integration and multilingual rollouts to improve RAG effectiveness on multilingual collections.
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AVA is a specialized GenAI platform for development policy research that provides verifiable syntheses from World Bank reports and is associated with 2.4-3.9 hours of weekly time savings in a large-scale user evaluation.