A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

Vibe coding is a buzzy phrase that describes using AI language tools to write software. You enter a natural language phrase for what you want – to a point – and get back code.

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.

Researchers have developed a web plug-in to help those looking to protect their mental health make more informed decisions.

A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

MIT CSAIL researchers are using ideas from game theory to improve the reliability of language generation in language models.

PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.

Master's students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.