Does every token in the CoT output contribute equally to deriving the answer? —— We say NO! We introduce TokenSkip, a simple yet effective approach that enables LLMs to selectively skip redundant ...
Alibaba's technical report on Qwen-Image-2.0 lays out how the team squeezed more efficiency out of both training and inference. The big moves: a harder-compressing VAE, a reworked image transformer, ...
Abstract: No-Reference Image Quality Assessment (NR-IQA) plays a crucial role in various real-world applications by predicting image quality scores without the need for reference images. Despite the ...
Abstract: Image set compression (ISC) refers to compressing the sets of semantically similar images. Traditional ISC methods typically aim to eliminate redundancy among images at either signal or ...
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