KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools. - Tharindu Cyril Weerasooriya; Nandula Perera; S. R. Liyanage (CoRR, 2017)

Neighborhood-Based Pooling for Population-Level Label Distribution Learning. - Tharindu Cyril Weerasooriya; Tong Liu 010; Christopher M. Homan (ECAI, 2020)

Annotator Response Distributions as a Sampling Frame. - Christopher Homan; Tharindu Cyril Weerasooriya; Lora Aroyo; Chris Welty (NLPerspectives@LREC, 2022)

Improving Label Quality by Jointly Modeling Items and Annotators. - Tharindu Cyril Weerasooriya; Alexander Ororbia; Christopher Homan (NLPerspectives@LREC, 2022)

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. - Tharindu Cyril Weerasooriya; Sarah Luger; Saloni Poddar; Ashiqur R. KhudaBukhsh; Christopher Homan (ACL (1), 2023)

Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. - Tharindu Cyril Weerasooriya; Alexander Ororbia; Raj Bhensadadia; Ashiqur R. KhudaBukhsh; Christopher Homan (ACL (Findings), 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. - Tharindu Cyril Weerasooriya; Sujan Dutta; Tharindu Ranasinghe; Marcos Zampieri; Christopher Homan; Ashiqur R. KhudaBukhsh (EMNLP, 2023)

Offensiveness as an Opinion: Dissecting population-level Label Distributions. - Tharindu Cyril Weerasooriya; Sarah Luger; Yu Liang; Christopher M. Homan (Tiny Papers @ ICLR, 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers. - Tharindu Cyril Weerasooriya; Sujan Dutta; Tharindu Ranasinghe; Marcos Zampieri; Christopher M. Homan; Ashiqur R. KhudaBukhsh (CoRR, 2023)

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 (EMNLP (Findings), 2024)

Harnessing Business and Media Insights with Large Language Models. - Yujia Bao; Ankit Parag Shah; Neeru Narang; Jonathan Rivers; Rajeev Maksey; Lan Guan; Louise N. Barrere; Shelley Evenson; Rahul Basole; Connie Miao; Ankit Mehta; Fabien Boulay; et al. (CoRR, 2024)

ARTICLE: Annotator Reliability Through In-Context Learning. - Sujan Dutta; Deepak Pandita; Tharindu Cyril Weerasooriya; Marcos Zampieri; Christopher M. Homan; Ashiqur R. KhudaBukhsh (AAAI, 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 (AAAI, 2025)

Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. - Shanilka Haturusinghe; Tharindu Cyril Weerasooriya; Christopher M. Homan; Marcos Zampieri; Sidath Ravindra Liyanage (NAACL (Student Research Workshop), 2025)

Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. - Shanilka Haturusinghe; Tharindu Cyril Weerasooriya; Marcos Zampieri; Christopher M. Homan; S. R. Liyanage (CoRR, 2025)

ProRefine: Inference-time Prompt Refinement with Textual Feedback. - Deepak Pandita; Tharindu Cyril Weerasooriya; Ankit Parag Shah; Christopher M. Homan; Wei Wei (CoRR, 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 (CoRR, 2025)