Kronecker Delta Rule for Long Context Linear Attention
We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for assoc...
每天自动聚合 AI 领域最新动态
We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for assoc...
Existing Multi-token prediction (MTP) methods are auxiliary by design: the multi-horizon loss mostly trains modules a...
Feed-forward 3D Gaussian Splatting (3DGS) promises instant scene reconstruction with high-quality novel-view synthesi...
Unified audio-video creation requires a single model capable of text-conditioned joint synthesis, bidirectional cross...
In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursi...
Game world models have made rapid progress toward real-time interactive generation. Yet action control is still predo...
Memory-native evolution requires making memory an intrinsic capability of foundation models, enabling them to continu...
We ask how much an autoregressive transformer retains of its prompt after generating t tokens. Consider two different...
A guardrail classifier is reported as if unsafe were a property of text. It is not: it is a property of a policy, and...
Safety in Multimodal Large Language Models (MLLMs) depends on unsafe multimodal data for post-training alignment or a...
Robotic value models assess task execution from visual observations and instructions, providing feedback for policy l...
Augmenting worker capabilities in the physical world through guidance has been a decades-long goal for AI agents. One...