We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...
Abstract: In the domain of Natural Language Processing (NLP), the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) represents a significant advancement towards ...
The auditor-controller's office estimates Los Angeles County has lost over $3 million due to pandemic unemployment insurance ...
Abstract: With the exponential surge in diverse multimodal data, traditional unimodal retrieval methods struggle to meet the needs of users seeking access to data across various modalities. To address ...
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