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Arjun Rajaram
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2020 – today
- 2024
- [c6]Daniel Nichols
, Joshua Hoke Davis
Can Large Language Models Write Parallel Code? HPDC 2024: 281-294 - [c5]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: 1-6 - [c4]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: 1-5 - [i3]Daniel Nichols
Can Large Language Models Write Parallel Code? CoRR abs/2401.12554 (2024) - [i2]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 abs/2404.00188 (2024) - 2023
- [i1]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 abs/2310.05964 (2023) - 2022
- [c3]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: 1-6 - [c2]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: 272-277 - [c1]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: 1366-1370
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