Hello, my name is Sonia.
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About me
I care about understanding humans as thinking, feeling, computational machines and using these insights to build artificial intelligence that better serves a diversity of human intelligence.
Harvard School of Engineering & Applied Sciences
I am a second-year PhD student in Computer Science, where I am advised by Tomer Ullman and Elena Glassman.
I am grateful to be supported by an NSF Graduate Research Fellowship and to be a part of the inaugural cohort of Kempner Institute Graduate Fellows at Harvard.
The Allen Institute for Artificial Intelligence
Previously, I was a Predoctoral Young Investigator on the Semantic Scholar team, working with Doug Downey and Daniel Weld on generating diverse descriptions of scientific concepts.
Princeton Computational Cognitive Science Lab
I also work with Tom Griffiths and Robert Hawkins on developing models of human word-color associations and studying the mental representations that enable us to flexibly communicate.
Publications
Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models
Sonia K. Murthy, Kiera Parece, Sophie Bridgers, Peng Qian, Tomer Ullman
EMNLP Findings (2023)
an earlier iteration of this work appeared in the Proceedings of the First Workshop on Theory of Mind in Communicating Agents @ ICML 2023
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jon Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
EMNLP System Demonstrations (2022)
[pdf][demo][dataset + code][AI2 blog feature]
an earlier iteration of this work appeared in the Proceedings of the Fifth Widening Natural Language Processing Workshop @ EMNLP 2021.
Other work
© 2023 Sonia Murthy