While effective, this approach has notable limitations: it heavily relies on human annotations, making it costly and difficult to scale; models only mimic humans, struggling to surpass human reasoning ...

Recently, the research achievements of the DeepSeek team were featured on the cover of Nature magazine under the title "DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning," ...

Microsoft has introduced a new set of small language models called Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, which are described as "marking a new era for efficient AI." These ...

A team of Apple researchers has questioned the formal reasoning capabilities of large language models (LLMs), particularly in mathematics. They found that LLMs exhibit noticeable variance when ...