Fast Weight Attention for Continual Learning
Recurrent fast-weight memories and selective state-space models compress an expanding context into a fixed-size recur...
每天自动聚合 AI 领域最新动态
Recurrent fast-weight memories and selective state-space models compress an expanding context into a fixed-size recur...
Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and localize the targ...
Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for building autonomous...
Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of ...
The alignment of Large Language Models heavily relies on English-centric high-quality preference data, which often le...
Generative vision-language models (VLMs) are increasingly used in human-centered settings, yet they can produce demog...
Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis o...
Evaluation artifacts specify a forward computation: a task, scorer, and reported metric. They do not necessarily lice...
Contact-rich manipulation requires adapting to contact states that can evolve substantially within an action horizon....
Recent advances in inference-time scaling have significantly improved the reasoning performance of large language mod...
High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To supp...
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tra...