Papers by Akash Srivastava

1 papers
Hopscotch: Discovering and Skipping Redundancies in Language Models (2025.findings-emnlp)

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Challenge: Hopscotch is a method that skips attention blocks with least contributions to a task . it does not modify model weights or require access to pretraining or instruction-tuning data.
Approach: Hopscotch proposes a method that skips attention blocks with least contributions to a task . it introduces lightweight scaling parameters to attention and MLP blocks .
Outcome: The proposed method reduces the drop in performance by 2% even after skipping four attention blocks.

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