每天自动聚合 AI 领域最新动态
Language remains an outlier in generative modeling: while images, video, and audio are increasingly modeled in contin...
Omni-modal large language models (Omni-LLMs) have achieved remarkable performance on audio-visual understanding tasks...
Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learnin...
Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI ag...
Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift rai...
Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in ...
Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environm...
World Action Models (WAMs) have emerged as a promising paradigm by jointly modeling robot actions and future visual d...
Viscous stains, characterized by high viscosity and complex rheological properties, remain a major challenge for robo...
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video stream...
Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. W...
Diffusion language models (dLLMs) offer an alternative to autoregressive (AR) language modeling, yet the scaling beha...