20 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Fine-tuning pre-trained extractive QA models for clinical document parsing
Ashwyn Sharma, David I. Feldman, Aneesh Jain
Electronic health records (EHRs) contain a vast amount of high-dimensional multi-modal data that can accurately represent a patient's medical history. Unfortunately, most of this d…
cs.LG2023★ 8 cited
Execution-based Code Generation using Deep Reinforcement Learning
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni +1
The utilization of programming language (PL) models, pre-trained on large-scale code corpora, as a means of automating software engineering processes has demonstrated considerable…
cs.SE2022★ 20 cited
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
Ming Zhu, Aneesh Jain, Karthik Suresh +3
Recent advances in machine learning have significantly improved the understanding of source code data and achieved good performance on a number of downstream tasks. Open source rep…