Emre Kiciman
Senior Principal Research Manager
News & features
What’s Your Story: Emre Kiciman
| Johannes Gehrke and Emre Kiciman
Emre Kiciman shares how some keen observations and a desire to have front-end impact led him to make the jump from systems and networking to computational social science and now causal analysis and large-scale AI—and how systems thinking still impacts…
Microsoft at CHI 2024: Innovations in human-centered design
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
In the news | TheSequence
Don’t Overlook China’s Open Source LLMs
AI Controller Interface | Microsoft Research released a prototype of AI Controller Interface (AICI), a framework to implement controllers that constraint the outputs of LLMs. AICI’s architecture allows the implementation of custom logic blocks the during the token decoding process…
AI Controller Interface: Generative AI with a lightweight, LLM-integrated VM
| Emre Kiciman and Michal Moskal
The emergence of large language models (LLMs) has revolutionized the way people create text and interact with computing. However, these models are limited in ensuring the accuracy of the content they generate and enforcing strict compliance with specific formats, such…
In the news | EPFL News
Pass me the pastries, please
A new global study by researchers from EPFL, the University of Fribourg, and Microsoft Research has found there was an overall surge in high calorie foods such as pastries, bread and pies during the first wave of the COVID-19 pandemic,…
Getting efficient with “What-happens-if …”
| Adith Swaminathan and Emre Kiciman
Causal inference studies the relationship between causes and effects. For example, one kind of question that causal inference can answer is the “What-happens-if …” question. What happens if I take a specific medication? What happens if I raise the price…
DoWhy – A library for causal inference
| Amit Sharma and Emre Kiciman
For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of cause-and-effect are gaining importance in computer science as well. To enable widespread…