Tushaar Gangavarapu

Tushaar Gangavarapu

PhD UT Austin
Contact: tushaarg@cs.utexas.edu (by email), or 4.802C GDC in person

I am a PhD student at UT Austin, advised by Qiang Liu and Atlas Wang. I work on efficient large language models using alternate attention mechanisms.

(Previously,) at Cornell, I was advised by Sasha Rush and Cristian Danescu-Niculescu-Mizil.

Research interests. NLP :: LLM :: alternate-attention (efficiency, reasoning)
(See my papers page for full list of publications.)

Recognition.

Teaching, internships, etc.

Sp26 Research Intern, Microsoft Research (Project: Efficient long-context modeling)
Su25 Research Intern, Test-Time Scaling, IBM (Project: Alternate-attention models for long-COT reasoning)
Sp25 Instructor (w/ Karthik Sridharan), Intro to Machine Learning (CS 3780/5780), Cornell
Fa24 Head TA, Practicum in AI (CS 4701), Cornell
Su24 Research Intern, Cornell (Project: Mechanistic interpretability of hybrid attention/RNN models; Advisor: Sasha Rush)
Sp24 Head TA, Language and Information (CS 4300/INFO 4300), Cornell
Fa23 Head TA, Natural Language Processing (CS 4740/LING 4744/COGST 4740/CS 5740), Cornell
Su23 Research Intern, Cornell (Project: Authorship identification in cross-domain settings; Advisor: Sasha Rush)
Sp23 Head TA, Language and Information (CS 4300/INFO 4300), Cornell
Fa22 Head TA, Natural Language Processing (CS 4740/LING 4744/COGST 4740/CS 5740), Cornell

Misc.


Tushaar's papers page
Tushaar's posts page