Search Results for author:
Found 3 papers, 2 papers with code
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
Large Language Models (LLMs) are susceptible to `jailbreaking' prompts, which can induce the generation of harmful content.
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
The attention mechanism is a key component of the neural revolution in Natural Language Processing (NLP).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
