Papers with chunking process

1 papers
Grounding Language Model with Chunking-Free In-Context Retrieval (2024.acl-long)

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Challenge: CFIC retrieval approach eliminates the need for document chunking and provides a more efficient and efficient method for RAG systems.
Approach: They propose a Chunking-Free In-Context retrieval approach specifically tailored for RAG systems . they employ auto-aggressive decoding to accurately identify specific evidence text .
Outcome: The proposed method is better than traditional methods on open question answering datasets.

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