Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...
Animal Models Show Full Protection Against Omicron Variant Despite Absence of Neutralizing Antibodies, Highlighting Critical Importance of T-cell Immunity for Next-generation COVID-19 Vaccines ATLANTA ...
Abstract: The impedance network (IN) model is gaining popularity in the oscillation analysis of wind farms. However, the construction of such an IN model requires impedance curves of each wind turbine ...
From claims that vaccines don't work to manipulated images and deliberately misrepresenting what politicians say, social ...
Researchers discover that video compression technology is also great at compressing AI model data, earning Micro 25 Best Paper Award.
ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...
We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...
Amazon announces a comprehensive expansion of its Nova portfolio with four new models, a pioneering "open training" service that empowers organizations to build their custom model variants with Nova, ...
Abstract: The foundation of current large language model applications lies in the generative language model, which typically employs an autoregressive token generation approach. However, this model ...
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