Tharindu Cyril Weerasooriya

26 papers A* 4A 1Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer. EACL (Findings) Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu
2026	J	`jnl`	HumanLM: Simulating Users with State Alignment Beats Response Imitation. CoRR Shirley Wu, Evelyn Choi, Arpandeep Khatua, Zhanghan Wang, Joy He-Yueya, Tharindu Cyril Weerasooriya, Wei Wei, Diyi Yang, Jure Leskovec, James Zou
2026	A*	`conf`	ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract). AAAI Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei
2025	A*	`conf`	ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). AAAI Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh
2025	A*	`conf`	ARTICLE: Annotator Reliability Through In-Context Learning. AAAI Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh
2025	J	`jnl`	LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo. CoRR Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan
2025	J	`jnl`	MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms. CoRR Isabelle Diana May-Xin Ng, Tharindu Cyril Weerasooriya, Haitao Zhu, Wei Wei
2025	J	`jnl`	ProRefine: Inference-time Prompt Refinement with Textual Feedback. CoRR Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Parag Shah, Christopher M. Homan, Wei Wei
2025	—	`conf`	Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. NAACL (Student Research Workshop) Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Christopher M. Homan, Marcos Zampieri, Sidath Ravindra Liyanage
2025	J	`jnl`	Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. CoRR Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, S. R. Liyanage
2024	J	`jnl`	ARTICLE: Annotator Reliability Through In-Context Learning. CoRR Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh
2024	J	`jnl`	Harnessing Business and Media Insights with Large Language Models. CoRR 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, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
2024	—	`conf`	Rater Cohesion and Quality from a Vicarious Perspective. EMNLP (Findings) Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher Homan
2024	J	`jnl`	Rater Cohesion and Quality from a Vicarious Perspective. CoRR Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher M. Homan
2023	—	`conf`	Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan
2023	—	`conf`	Offensiveness as an Opinion: Dissecting population-level Label Distributions. Tiny Papers @ ICLR Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan
2023	—	`conf`	Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. ACL (1) Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher Homan
2023	J	`jnl`	Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. CoRR Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher M. Homan
2023	J	`jnl`	Vicarious Offense and Noise Audit of Offensive Speech Classifiers. CoRR Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh
2023	A*	`conf`	Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. EMNLP Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh
2022	—	`conf`	Annotator Response Distributions as a Sampling Frame. NLPerspectives@LREC Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty
2022	—	`conf`	Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan
2021	J	`jnl`	Improving Label Quality by Jointly Modeling Items and Annotators. CoRR Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan
2020	A	`conf`	Neighborhood-Based Pooling for Population-Level Label Distribution Learning. ECAI Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan
2020	J	`jnl`	Neighborhood-based Pooling for Population-level Label Distribution Learning. CoRR Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan
2017	J	`jnl`	KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools. CoRR Tharindu Cyril Weerasooriya, Nandula Perera, S. R. Liyanage