American educators have returned to the notion that shared background knowledge is essential to reading instruction, ending a decades-long lost cause that insisted reading skills and levels were the ...

Abstract: As an efficient model compression technique, knowledge distillation has become an important research topic in the field of deep learning. However, the requirement of pre-trained teacher ...

What does knowledge mean in an age of AI, deepfakes, and disinformation? When information is everywhere, the real challenge is distinguishing insight from noise. In this episode of The Development ...

Summary: We all have skills we can’t quite explain—like the exact pressure needed to balance a bike or the “gut feeling” a specialist gets when analyzing a complex image. This is tacit knowledge, and ...

Motivation: Conventional knowledge distillation approaches primarily preserve in-domain accuracy while neglecting out-of-domain generalization, which is essential under distribution shifts. This ...

Anthropic accused three Chinese AI firms of engaging in concerted "distillation attack" campaigns. U.S. companies like Anthropic and OpenAI are concerned with ceding a competitive advantage to such ...

The San Francisco start-up claimed that DeepSeek, Moonshot and MiniMax used approximately 24,000 fraudulent accounts to train their own chatbots. By Cade Metz Reporting from San Francisco The San ...

A fourth-grade student diving into a new lesson on biomes might have a hazy recollection of key terms like biodiversity or adaptation. Unattended to, this vocabulary gap can fester, undermining the ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management. A new fine-tuning technique aims to solve ...

Test your knowledge of credit cards, buying a home, saving for college or retirement and other things that affect your wallet. By Connie Chang and Juli Fraga Illustrations by Jay Daniel Wright Making ...

This project addresses the challenge of toxicity identification in online multimodal environments, where understanding contextual connections across modalities, such as text and visuals, is crucial.