Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...