Arjun Rajaram

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Nearest Neighbor

Structured Queries

Natural Language Queries

Top Venues

Publications

Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele
Can Large Language Models Write Parallel Code? CoRR (2024)
Manit Mishra, Abderrahman Braham, Charles Marsom, Bryan Chung, Gavin Griffin, Dakshesh Sidnerlikar, Chatanya Sarin, Arjun Rajaram
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries. ICAIC (2024)
Aadi Chauhan, Taran Anand, Tanisha Jauhari, Arjav Shah, Rudransh Singh, Arjun Rajaram, Rithvik Vanga
Identifying Race and Gender Bias in Stable Diffusion AI Image Generation. ICAIC (2024)
Manit Mishra, Abderrahman Braham, Charles Marsom, Bryan Chung, Gavin Griffin, Dakshesh Sidnerlikar, Chatanya Sarin, Arjun Rajaram
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries. CoRR (2024)
Anthony Olakangil, Cindy Wang, Justin Nguyen, Qunbo Zhou, Kaavya Jethwa, Jason Li, Aryan Narendra, Nishk Patel, Arjun Rajaram
Exploring Embeddings for Measuring Text Relatedness: Unveiling Sentiments and Relationships in Online Comments. CoRR (2023)
Yeonwoo Son, Soham Vohra, Rohit Vakkalagadda, Michael Zhu, Aadvait Hirde, Saurav Kumar, Arjun Rajaram
Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement. ICTC (2022)
Nishkal Hundia, Naveed Kabir, Sweksha Mehta, Abhay Pokhriyal, Zhuo En Chua, Arjun Rajaram, Michael Lutz, Amisha Kumar
Genotype Imputation Using K-Nearest Neighbors and Levenshtein Distance Metric. ICTC (2022)
Chloe Tan, Kunal Talreja, Annika Shivam, Arpon Nag, Myra Miranda, Samskrith Raghav, Arjun Rajaram, Michael Lutz, Saurav Kumar, Amisha Kumar
Machine Learning in Clinical Text Classification: Specialty Identification and COVID-19 Risk. ICTC (2022)