Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Dataset Source Code
Steering LLMs for better instruction following
This repository contains the code for the paper “Improving Instruction-Following in Language Models through Activation Steering,” presented at ICLR 2025.
Podcast
The reality of generative AI in the clinic
UC San Diego Health’s Dr. Christopher Longhurst and UC San Francisco Health’s Dr. Sara Murray explore how generative AI is changing patient care, clinical workflows, and decision-making and how they envision the technology impacting the…
Microsoft Research Blog
Claimify: Extracting high-quality claims from language model outputs
Claimify, created by Microsoft Research, is a novel LLM-based claim-extraction method that outperforms prior solutions to produce more accurate, comprehensive, and substantiated claims from LLM outputs.
Microsoft Research Blog
Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs
Introducing KBLaM, an approach that encodes and stores structured knowledge within an LLM itself. By integrating knowledge without retraining, it offers a scalable alternative to traditional methods.
Publication