PhD students Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, interning with the MIT-IBM Watson AI Lab, look to improve natural language usage in AI models so that the AI systems can be more dependable and accurate.

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Researchers at the MIT-IBM Watson AI Lab are working on improving the reliability and accuracy of natural language models. Their research focuses on using game theory, uncertainty quantification, and enhancing model capability. They aim to make language models more trustworthy, calibrate their confidence levels, and enable them to reason about what they see.

Reasoning and reliability in AI