Search Results for author:
Found 3 papers, 2 papers with code
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
This paper investigates the impact of model compression on the way Large Language Models (LLMs) process prompts, particularly concerning jailbreak resistance.
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
In recent years, emerging fields such as meta-learning or self-supervised learning have been closing the gap between proof-of-concept results and real-life applications of machine learning by extending deep-learning to the semi-supervised and few-shot domains.
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
Attention mechanisms play a crucial role in the neural revolution of Natural Language Processing (NLP).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
