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Stories about the Allen School’s people, research and impact. 

Asai (Ph.D., ‘25), research scientist at Ai2 and incoming faculty at Carnegie Mellon University, was recognized for her pioneering research that has helped establish the foundations for retrieval-augmented generation (RAG) and showcase its effectiveness at reducing LLM hallucinations.

Allen School researchers earned multiple awards at the 63rd Annual Meeting of the Association for Computational Linguistics for laying the foundation for how AI systems understand and follow human instructions, exploring how LLMs pull responses from their training data, and more.

In her new book “Digital Culture Shock: Who Creates Technology and Why This Matters,” Reinecke examines how culture shapes the design and use of technology — and why we should resist a one-size-fits-all approach.

Winners Andrew Alex and Megan Frisella aim to advance research in user-scheduled programming languages, while fellow Allen School winner Zixian Ma and UW ECE collaborator Yushi Hu will develop multi-modal AI agents capable of performing complex tasks.

In an article in Nature Reviews Bioengineering, members of the AIMS Lab led by Allen School professor Su-In Lee discuss how explainable AI techniques are essential for ensuring accuracy and trust in AI models used in clinical settings.

To help Reddit moderators make data-driven decisions on what rules are best for their community, a team of researchers in the Allen School’s Behavioral Data Science Group and Social Futures Lab conducted the largest-to-date analysis of over 67,000 Reddit rules and their evolution.

There has been a lot of chatter about new computer science graduates and employment in the AI era. Allen School professors Magdalena Balazinska and Dan Grossman examine the myths and realities surrounding AI and the prospects for current and future Allen School majors.

Companies are pouring billions into developing humanoid robots. In an op-ed, Allen School professor Maya Cakmak considers the results of a survey exploring whether people would welcome such robots — and looks forward to taking one for a spin (for science).

Lin, a member of the Allen School’s Cryptography and Theory groups, discusses her research in indistinguishability obfuscation, how the cryptographic assumptions have hardened over time, and what iO can offer in terms of precise, controlled information revelation.

In 2011, a team of researchers that included Allen School professor and alum Franziska Roesner published a paper detailing how they could remotely take control of a car. Their work, which inspired new motor vehicle security standards, received the USENIX Test of Time Award.