每天自动聚合 AI 领域最新动态
Personal agents are becoming persistent user-owned intermediaries: they remember preferences, filter platform-mediate...
Modern autoregressive ASR systems can emit timestamps as decoded tokens, enabling timestamped transcription without f...
Streaming speech-to-speech language models aim to answer spoken queries directly with synthetic speech. However, stan...
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems ...
While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle ...
What does a discrete diffusion model learn: a denoiser, a score ratio, or a bridge plug-in predictor? At the level of...
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbound...
Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabi...
Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical step in automated...
Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, bu...
Real-world robot deployment rarely maintains the training-stage camera setup, where cameras often experience repositi...
Unsupervised syllabic tokenization aims to learn discrete syllabic tokens that capture latent linguistic content-rela...