I am a Research Assistant Professor at the Toyota Technological Institute at Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus.
My research program lies at the intersection of Cognitive Science, Linguistics, and Artificial Intelligence. I am primarily interested in characterizing the statistical mechanisms that underlie the acquisition and generalization of complex linguistic phenomena and conceptual meaning. To this end, I: (1) develop methods to evaluate and analyze AI models from the perspective of semantic cognition; and (2) use AI models as simulated learners to test and generate novel hypotheses about language acquisition and generalization. My research has been recognized with awards at EACL 2023, ACL 2023, and EMNLP 2024!
Previously, I was a postdoctoral fellow in the Linguistics department at UT Austin, working with Dr. Kyle Mahowald. Before that, I was a PhD student at Purdue University, where I worked on Natural Language Understanding with Dr. Julia Taylor Rayz at the AKRaNLU Lab. I also worked closely with Dr. Allyson Ettinger and her lab at UChicago.
My email is kanishka [at] ttic [dot] edu.[why is it like that?]
Note: I am not currently looking to hire any PhD students, but please reach out to me if I can be of assistance or point you to other fantastic researchers who are looking for students. I will unfortunately not respond to your email if its content suggests you have not read my website.
I co-organize the UChicago/TTIC NLP Seminar, along with the wonderful Mina Lee and Zhewei Sun. We are constantly looking for external speakers – please reach out if you are interested to present! I strongly encourage people from underrepresented and marginalized groups to reach out.
I am the author of minicons, a python package that facilitates large scale behavioral analyses of transformer language models.
I spent Fall 2022 as a Research Intern at Google AI working on multi-hop reasoning and language models.
November 2024: The AANN paper with Kyle was awarded an Outstanding Paper Award at EMNLP 2024!
October 2024: New preprint on characterizing the role of similarity in LMs’ property inferences with Juan Diego Rodriguez and Aaron Mueller. My first paper as a supervising author!
October 2024: Two papers accepted at EMNLP 2024: (1) on testing robust property inferences in LMs with experimental contexts, with Kyle and Allyson; and (2) characterizing LMs’ generalization to rare linguistic phenomena, with Kyle! Congrats to my co-authors!
October 2024: Talk at the Research at TTIC Seminar Series!
September 2024: I am co-organizing the TTIC/UChicago NLP Seminar along with Mina Lee and Zhewei Sun!
August 2024: I have now moved to Chicago! Excited to start as Research Faculty at TTIC!