Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

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 ...

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 ...

DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.

AI companies face delays and challenges with training new large language models Some researchers are focusing on more time for inference in new models Shift could impact AI arms race for resources ...