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cs.AI2024
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
Jonathan Cook, Tim Rocktäschel, Jakob Foerster +2
Given the widespread adoption and usage of Large Language Models (LLMs), it is crucial to have flexible and interpretable evaluations of their instruction-following ability. Prefer…
cs.LG2024★ 3 cited
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
Adib Hasan, Ileana Rugina, Alex Wang
This paper investigates the impact of model compression on the way Large Language Models (LLMs) process prompts, particularly concerning jailbreak resistance. We show that moderate…