15 citations · 25 across the 20 of their papers we have counts for
3 papers · 1 filter
Read between the lines -- Functionality Extraction From READMEs
Prince Kumar, Srikanth Tamilselvam, Dinesh Garg
While text summarization is a well-known NLP task, in this paper, we introduce a novel and useful variant of it called functionality extraction from Git README files. Though this t…
Prompting with Pseudo-Code Instructions
Mayank Mishra, Prince Kumar, Riyaz Bhat +3
Prompting with natural language instructions has recently emerged as a popular method of harnessing the capabilities of large language models. Given the inherent ambiguity present…
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur +2
Text classification models, especially neural networks based models, have reached very high accuracy on many popular benchmark datasets. Yet, such models when deployed in real worl…