Tackling Concept Shift in Text Classification using Entailment-style Modeling. - Sumegh Roychowdhury; Karan Gupta 002; Siva Rajesh Kasa; Prasanna Srinivasa Murthy; Alok Chandra (CoRR, 2023)

How Robust are LLMs to In-Context Majority Label Bias? - Karan Gupta 002; Sumegh Roychowdhury; Siva Rajesh Kasa; Santhosh Kumar Kasa; Anish Bhanushali; Nikhil Pattisapu; Prasanna Srinivasa Murthy (CoRR, 2023)

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques. - Siva Rajesh Kasa; Aniket Goel; Karan Gupta 002; Sumegh Roychowdhury; Pattisapu Priyatam; Anish Bhanushali; Prasanna Srinivasa Murthy (ACL (Findings), 2024)

Tackling Concept Shift in Text Classification using Entailment-style Modeling. - Sumegh Roychowdhury; Karan Gupta 002; Siva Rajesh Kasa; Prasanna Srinivasa Murthy (KDD, 2024)

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques. - Siva Rajesh Kasa; Aniket Goel; Karan Gupta 002; Sumegh Roychowdhury; Anish Bhanushali; Nikhil Pattisapu; Prasanna Srinivasa Murthy (CoRR, 2024)

Leveraging Structural Information in Tree Ensembles for Table Representation Learning. - Nikhil Pattisapu; Siva Rajesh Kasa; Sumegh Roychowdhury; Karan Gupta 002; Anish Bhanushali; Prasanna Srinivasa Murthy (WWW (Companion Volume), 2025)

Generative or Discriminative? Revisiting Text Classification in the Era of Transformers. - Siva Rajesh Kasa; Karan Gupta 002; Sumegh Roychowdhury; Ashutosh Kumar; Yaswanth Biruduraju; Santhosh Kumar Kasa; Nikhil Priyatam Pattisapu; Arindam Bhattacharya; Shailendra Agarwal; Vijay Huddar (CoRR, 2025)