Signals

A novel framework that bridges LLM-generated ideas with formal logic verification to enhance reliability and transparency of AI reasoning.

How to build reliable AI systems while navigating the rapid pace of LLM evolution and the tension between domain knowledge and scalable methods.

A general audience introduction to how large language models like ChatGPT are built, from data collection to neural network training.

A deep dive into the ongoing discussion about whether large language models truly understand the world or simply excel at pattern recognition.

A new KBQA dataset and agent that tackles complex real-world questions using dynamic SPARQL exploration and reasoning over large knowledge bases.