Papers by Sharad Mehrotra

1 papers
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding (2024.acl-long)

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Challenge: Existing methods for accelerating Large Language Models have been criticized for their inference costs and inefficient decoding.
Approach: They propose a self-speculative decoding approach for accelerating Large Language Models without an auxiliary model.
Outcome: The proposed method achieves a speedup of up to 1.99 with no additional neural network training and no extra memory footprint.

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