Adversarial Attacks on Aligned Large Language Models
Developed a novel adversarial attack technique for Large Language Models, leveraging regularized gradients with continuous optimization to generate valid tokens and significantly improve attack efficiency and success rates
Jun 8, 2024
Comparison of Summarization Techniques Using Language Models
Explored various NLP tasks and the impact of transformer-based models on text summarization, focusing on BERT, GPT-2, and T5. Compared different summarization approaches, including DistilBART, Facebook BART, and Conversational BART, to generate effective summaries of medical reports. Addressed challenges related to input size constraints and domain-specific vocabulary.
Mar 28, 2023