Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
Large language models achieve superior performance on tasks that require extended reasoning, but long chains of thoug...
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Large language models achieve superior performance on tasks that require extended reasoning, but long chains of thoug...
Camera-conditioned world models generate interactive videos in which commanded actions should induce the expected sce...
We present FlashRender, a few-step generative rendering framework that retakes a source video along a target camera t...
Joint audio-video generation models have made substantial progress in visual quality and audio-visual synchronization...
Streaming video understanding requires multimodal large language models (MLLMs) to process continuous visual inputs a...
We propose Puffin-World, a unified multimodal architecture that integrates physical understanding, spatial simulation...
Large language models offer broad capabilities, but adapting them to evolving domains, tools, and requirements often ...
Personalized assistants should not only comply with user requests but also assess whether those requests are appropri...
We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks toward invar...
Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remot...
Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the associated top-1 p...
Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fi...