Papers by Oliver Bentham

1 papers
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression (2024.findings-emnlp)

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Challenge: Prior work on compression prioritizes preserving perplexity, which is analogous to training loss.
Approach: They examine the impact of model compression along four dimensions: degeneration harm, representational harm, dialect bias, and language modeling and downstream task performance.
Outcome: The proposed compression methods can lead to unexpected consequences, the authors show . quantization preserves bias while pruning degrades quickly.

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