Browsing: Hugging Face
The study identifies a linear reasoning bottleneck in Visual-Language Models and proposes the Linear Separability Ceiling as a metric to…
How does an LLM understand the meaning of ‘wRiTe’ when its building blocks—the individual character tokens ‘w’, ‘R’, ‘i’—have no…
PyVision, an interactive framework, enables LLMs to autonomously create and refine Python-based tools for visual reasoning, achieving significant performance improvements…
Videos inherently represent 2D projections of a dynamic 3D world. However, our analysis suggests that video diffusion models trained solely…
Recent advances in multimodal large language models (MLLMs) have shown remarkable capabilities in integrating vision and language for complex reasoning.…
LangSplatV2 enhances 3D text querying speed and accuracy by replacing the heavyweight decoder with a sparse coefficient field and efficient…
We found that the layers of a pretrained large language model (LLM) can be manipulated as separate modules to build…
ToBo is a self-supervised learning method that creates compact, temporally aware visual representations for sequential scene understanding tasks, outperforming baselines…
Despite the significant progress that has been made in video generative models, existing state-of-the-art methods can only produce videos lasting…
Machine bullshit, characterized by LLMs’ indifference to truth, is quantified and analyzed through a new framework, revealing that RLHF and…