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Accelerating Inference in Retrieval-Augmented Generation Models for Long-Form Question Answering via Dynamic Token Pruning.

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Title: Accelerating Inference in Retrieval-Augmented Generation Models for Long-Form Question Answering via Dynamic Token Pruning.
Authors: Kim, Wooseok1 (AUTHOR), Kim, Gyunyeop1 (AUTHOR), Kang, Sangwoo1 (AUTHOR) swkang@gachon.ac.kr
Source: Mathematics (2227-7390). Jul2025, Vol. 13 Issue 14, p2231. 18p.
Database: Academic Search Ultimate
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  Data: Accelerating Inference in Retrieval-Augmented Generation Models for Long-Form Question Answering via Dynamic Token Pruning.
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+%282227-7390%29%22">Mathematics (2227-7390)</searchLink>. Jul2025, Vol. 13 Issue 14, p2231. 18p.
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        Value: 10.3390/math13142231
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      – Code: eng
        Text: English
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      – TitleFull: Accelerating Inference in Retrieval-Augmented Generation Models for Long-Form Question Answering via Dynamic Token Pruning.
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            NameFull: Kim, Wooseok
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            NameFull: Kim, Gyunyeop
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              Text: Jul2025
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              Value: 13
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