Deepak Pandita

According to our database, Deepak Pandita authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Improving Reproducibility in Evaluation through Multi-Level Annotator Modeling.

Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan

CoRR, May, 2026

Learning Who Disagrees: Demographic Importance Weighting for Modeling Annotator Distributions with DiADEM.

Samay U. Shetty, Tharindu Cyril Weerasooriya, Deepak Pandita, Christopher M. Homan

CoRR, April, 2026

How Many Ratings per Item are Necessary for Reliable Significance Testing?

Christopher M. Homan, Flip Korn, Deepak Pandita, Chris Welty

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract).

Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation.

Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ProRefine: Inference-time Prompt Refinement with Textual Feedback.

Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Parag Shah, Christopher M. Homan, Wei Wei

CoRR, June, 2025

McMaster at LeWiDi-2025: Demographic-Aware RoBERTa.

Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan

Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025

LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo.

Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan

Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025

ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract).

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

ARTICLE: Annotator Reliability Through In-Context Learning.

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Rater Cohesion and Quality from a Vicarious Perspective.

Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher Homan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2018

Weakly Supervised and Online Learning of Word Models for Classification to Detect Disaster Reporting Tweets.

Girish Keshav Palshikar, Manoj Apte, Deepak Pandita

Inf. Syst. Frontiers, 2018

Does Reciprocal Gratefulness in Twitter Predict Neighborhood Safety?: Comparing 911 Calls Where Users Reside or Use Social Media.

Ann Marie White, Linxiao Bai, Christopher Homan, Melanie Funchess, Catherine Cerulli, Amen Ptah, Deepak Pandita, Henry A. Kautz

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017

Weakly Supervised Classification of Tweets for Disaster Management.

Girish Keshav Palshikar, Manoj Apte, Deepak Pandita

Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness co-located with European Conference on Information Retrieval, 2017

2016

Learning to Identify Subjective Sentences.

Girish K. Palshikar, Manoj Apte, Deepak Pandita, Vikram Singh

Proceedings of the 13th International Conference on Natural Language Processing, 2016