Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining

fine-tuned language model developed by Meta AI, and it is the next generation of their open-source large language model. The model leverages publicly available instruction datasets and over 1 million human annotations

We propose a training-assisted bit flip attack, in which the adversary is involved in the training stage to build a high-risk model to release.

Two metrics are proposed to evaluate AER performance with automatic segmentation based on time-weighted emotion and speaker classification errors.

LAMA utilizes a reinforcement learning framework combined with a motion matching algorithm. Reinforcement learning helps the model make appropriate decisions in various scenarios, while motion matching algorithms ensure that synthesized actions match real human actions. In addition, LAMA also utilizes the motion editing framework of manifold learning to cover various possible changes in interactions and operations.

Video ReTalking, advanced real-world talking head video according to input audio, producing a high-quality

In this paper, we propose a novel task, Proactive News Grounded Conversation, in which a dialogue system can proactively lead the conversation based on some key topics of the news.