XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence. - Ming Zhu 015; Aneesh Jain; Karthik Suresh 003; Roshan Ravindran; Sindhu Tipirneni; Chandan K. Reddy (CoRR, 2022)

Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models. - Ashwyn Sharma; David I. Feldman; Aneesh Jain (ClinicalNLP@ACL, 2023)

ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. - Aditya Shah; Surendrabikram Thapa; Aneesh Jain; Lifu Huang (SustaiNLP, 2023)

Fine-tuning pre-trained extractive QA models for clinical document parsing. - Ashwyn Sharma; David I. Feldman; Aneesh Jain (CoRR, 2023)

Execution-based Code Generation using Deep Reinforcement Learning. - Parshin Shojaee; Aneesh Jain; Sindhu Tipirneni; Chandan K. Reddy (Trans. Mach. Learn. Res., 2023)