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AI-generated content is advancing rapidly, creating both opportunities and chall...
In machine learning, embeddings are widely used to represent data in a compresse...
Utilizing Large Language Models (LLMs) through different prompting strategies ha...
Multi-modal entity alignment (MMEA) is a technique that leverages information fr...
Sparse autoencoders (SAEs) are an emerging method for breaking down language mod...
ElevenLabs just introduced Voice Design, a new AI voice generation that allows y...
Runway has announced a new feature called Act-One. One popular reason why Hollyw...
Large language models (LLMs) have significantly advanced handling of complex tas...
Machine learning, particularly the training of large foundation models, relies h...
Vision-Language Models (VLMs) are increasingly used for generating responses to ...
The structure of Ghostbuster, our new state-of-the-art metho...
Asymmetric Certified Robustness via Feature-Convex Neural Networks ...
Goal Representations for Instruction Following A longstanding...
When we began studying jailbreak evaluations, we found a fascin...
Humans excel at processing vast arrays of visual information, a...
The ability of LLMs to execute commands through plain langu...