2 citations · 4 across the 4 of their papers we have counts for
5 papers
Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy
Vallabhaneni Raj Kumar, Ashwin S, Supriya Manna +8
Sentiment analysis for low-resource languages remains challenging in an era where interpretability, human alignment, and fairness are increasingly non-negotiable aspects of modern…
Evaluating link prediction: New perspectives and recommendations
Bhargavi Kalyani, A Rama Prasad Mathi, Niladri Sett
Link prediction (LP) is an important problem in network science and machine learning research. The state-of-the-art LP methods are usually evaluated in a uniform setup, ignoring se…
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
Supriya Manna, Niladri Sett
Deep learning's preponderance across scientific domains has reshaped high-stakes decision-making, making it essential to follow rigorous operational frameworks that include both Ri…
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
Supriya Manna, Niladri Sett
Faithfulness is arguably the most critical metric to assess the reliability of explainable AI. In NLP, current methods for faithfulness evaluation are fraught with discrepancies an…
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
Supriya Manna, Niladri Sett
Modern Education is not \textit{Modern} without AI. However, AI's complex nature makes understanding and fixing problems challenging. Research worldwide shows that a parent's incom…