Papers with pretrained decoder-only language models

1 papers
ImpRAG: Retrieval-Augmented Generation with Implicit Queries (2025.findings-emnlp)

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Challenge: Retrieval-Augmented Generation (RAG) systems treat retrieval and generation as separate processes, requiring explicit textual queries to connect them.
Approach: They propose a query-free RAG system that integrates retrieval and generation into a unified model.
Outcome: The proposed system can achieve 3.6-11.5 accuracy improvements on unseen tasks . it allows models to express their information needs without human-specified queries .

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