3 papers
cs.CL2024
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
Siva Rajesh Kasa, Aniket Goel, Karan Gupta +4
Ordinal Classification (OC) is a widely encountered challenge in Natural Language Processing (NLP), with applications in various domains such as sentiment analysis, rating predicti…
cs.LG2023
How Robust are LLMs to In-Context Majority Label Bias?
Karan Gupta, Sumegh Roychowdhury, Siva Rajesh Kasa +4
In the In-Context Learning (ICL) setup, various forms of label biases can manifest. One such manifestation is majority label bias, which arises when the distribution of labeled exa…
cs.CV2023
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
Abhishek Kushwaha, Sarthak Gupta, Anish Bhanushali +1
While the use of artificial intelligence (AI) for medical image analysis is gaining wide acceptance, the expertise, time and cost required to generate annotated data in the medical…