Papers by David Yunis

1 papers
Context-Efficient Retrieval with Factual Decomposition (2025.naacl-short)

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Challenge: Existing models that use dynamically expanding text can be incorporated into large language models.
Approach: They show that pre-processing external corpus into semi-structured "atomic facts" reduces the size of the context and improves inference efficiency.
Outcome: The proposed form of atomic facts improves on question answering tasks when the amount of retrieved text is limited.

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