#document-qa News & Analysis

3 articles tagged with #document-qa. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · May 296/10

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HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering

Researchers introduce HiKEY, a hierarchical multimodal retrieval framework designed to improve document-based question answering systems by leveraging document structure as a core retrieval signal. The system addresses critical limitations in existing approaches by implementing a coarse-to-fine retrieval strategy and demonstrating significant performance improvements on ODQA benchmarks.

AINeutralarXiv – CS AI · May 96/10

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Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering

Researchers present a discourse-aware hierarchical framework that uses rhetorical structure theory (RST) to improve long-document question answering systems. Rather than treating documents as flat sequences, the approach leverages natural discourse structures to enhance retrieval accuracy across multiple languages and document types.

AIBullisharXiv – CS AI · Feb 276/106

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SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG

Researchers have developed SmartChunk retrieval, a query-adaptive framework that improves retrieval-augmented generation (RAG) systems by dynamically adjusting chunk sizes and compression for document question answering. The system uses a planner to predict optimal chunk abstraction levels and a compression module to create efficient embeddings, outperforming existing RAG baselines while reducing costs.