Multimodal Reranking Is a System One Decision
Multimodal rerankers are usually dedicated models: a vision-language model (VLM) is trained on retrieval data to scor...
每天自动聚合 AI 领域最新动态
Multimodal rerankers are usually dedicated models: a vision-language model (VLM) is trained on retrieval data to scor...
Mixture-of-experts (MoE) models often exceed a single accelerator's memory capacity. Offloading experts to host memor...
Computer-use agents are limited by the interfaces humans give them. An agent may type a spreadsheet cell by cell when...
Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot ...
Camera trajectories control viewpoint changes in video generation, scene reconstruction, and robotic perception. Gene...
We present Épi, an autonomous research agent that sustains investigations across model sessions and evolves its metho...
Diffusion Transformers (DiTs) achieve high-fidelity image and video generation, but they suffer from substantial infe...
Scaling laws suggest that increasing model size, training data, and compute generally yields monotonic performance im...
Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond p...
We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built ...
Spatio-Temporal Video Grounding (STVG) aims to jointly localize a target in space and time given a natural-language q...
Coding agents can answer analytical questions over a data lake by discovering, cleaning, and joining the relevant dat...