Genotype Imputation Using K-Nearest Neighbors and Levenshtein Distance Metric. - Nishkal Hundia; Naveed Kabir; Sweksha Mehta; Abhay Pokhriyal; Zhuo En Chua; Arjun Rajaram; Michael Lutz; Amisha Kumar (ICTC, 2022)

Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement. - Yeonwoo Son; Soham Vohra; Rohit Vakkalagadda; Michael Zhu; Aadvait Hirde; Saurav Kumar; Arjun Rajaram (ICTC, 2022)

Machine Learning in Clinical Text Classification: Specialty Identification and COVID-19 Risk. - Chloe Tan; Kunal Talreja; Annika Shivam; Arpon Nag; Myra Miranda; Samskrith Raghav; Arjun Rajaram; Michael Lutz; Saurav Kumar; Amisha Kumar (ICTC, 2022)

Exploring Embeddings for Measuring Text Relatedness: Unveiling Sentiments and Relationships in Online Comments. - Anthony Olakangil; Cindy Wang; Justin Nguyen; Qunbo Zhou; Kaavya Jethwa; Jason Li; Aryan Narendra; Nishk Patel; Arjun Rajaram (CoRR, 2023)

Can Large Language Models Write Parallel Code? - Daniel Nichols; Joshua Hoke Davis; Zhaojun Xie; Arjun Rajaram; Abhinav Bhatele (HPDC, 2024)

Identifying Race and Gender Bias in Stable Diffusion AI Image Generation. - Aadi Chauhan; Taran Anand; Tanisha Jauhari; Arjav Shah; Rudransh Singh; Arjun Rajaram; Rithvik Vanga (ICAIC, 2024)

DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries. - Manit Mishra; Abderrahman Braham; Charles Marsom; Bryan Chung; Gavin Griffin; Dakshesh Sidnerlikar; Chatanya Sarin; Arjun Rajaram (ICAIC, 2024)