Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math problem, it can generate tens of ...

Abstract: With the rapid and widespread application of machine learning in the field of computer vision, video analysis tasks involving feature compression have seen growing demands for efficient ...

Recent efforts to accelerate inference in Multimodal Large Language Models (MLLMs) have largely focused on visual token compression. The effectiveness of these methods is commonly evaluated by ...

Abstract: The widespread deployment of phasor measurement units (PMUs) has introduced unprecedented challenges in handling the transmission and storage of extensive synchrophasor data. Addressing ...

Welcome to the QMSS Open House! The M.S. in Quantitative Methods in the Social Sciences at the Graduate Center prepares students from a variety of backgrounds for a data-driven future. Our affordable, ...

Now that everything’s sorted, complete the actual chores: Take out the trash, wash those dishes, or maybe even start a load of laundry. The genius of this method, according to Davis, is that “it ...

If you’ve ever abandoned a backyard meal mid-bite because wasps wouldn’t stop circling, you know that swatting and running aren’t a real strategy. The smarter approach is a layered defense — natural ...

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