Retrieval-Augmented Generation

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression

SARA is a unified RAG framework that balances local factual precision with global coverage by combining natural-language spans with compact semantic compression vectors, achieving consistent gains under strict context budgets.

Jul 1, 2026

MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A

MM-BizRAG is a multimodal RAG framework designed for general purpose enterprise Q&A, combining modality-aware retrieval, structured-context fusion, and grounded generation.

Jul 1, 2026

SARA

Selective and Adaptive Retrieval-augmented Generation with Context Compression. A unified RAG framework that combines fine-grained natural-language spans with compact semantic compression vectors under strict context budgets. Accepted at ACL 2026 main conference.

Mar 15, 2026