Nikhil Priyatam Pattisapu

According to our database, Nikhil Priyatam Pattisapu authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers.

Owais Makroo, Siva Rajesh Kasa, Sumegh Roychowdhury, Karan Gupta, Nikhil Priyatam Pattisapu, Santhosh Kumar Kasa, Sumit Negi

CoRR, October, 2025

Leveraging Structural Information in Tree Ensembles for Table Representation Learning.

Nikhil Priyatam Pattisapu, Siva Rajesh Kasa, Sumegh Roychowdhury, Karan Gupta, Anish Bhanushali, Prasanna Srinivasa Murthy

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Generative or Discriminative? Revisiting Text Classification in the Era of Transformers.

Siva Rajesh Kasa, Karan Gupta, Sumegh Roychowdhury, Ashutosh Kumar, Yaswanth Biruduraju, Santhosh Kumar Kasa, Nikhil Priyatam Pattisapu, Arindam Bhattacharya, Shailendra Agarwal, Vijay Huddar

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques.

Siva Rajesh Kasa, Aniket Goel, Karan Gupta, Sumegh Roychowdhury, Anish Bhanushali, Nikhil Priyatam Pattisapu, Prasanna Srinivasa Murthy

CoRR, 2024

2023

How Robust are LLMs to In-Context Majority Label Bias?

Karan Gupta, Sumegh Roychowdhury, Siva Rajesh Kasa, Santhosh Kumar Kasa, Anish Bhanushali, Nikhil Priyatam Pattisapu, Prasanna Srinivasa Murthy

CoRR, 2023