Tharindu Cyril Weerasooriya

Orcid: 0000-0003-4647-3164

According to our database1, Tharindu Cyril Weerasooriya authored at least 24 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
StaRPO: Stability-Augmented Reinforcement Policy Optimization.
CoRR, April, 2026

Learning Who Disagrees: Demographic Importance Weighting for Modeling Annotator Distributions with DiADEM.
CoRR, April, 2026

HumanLM: Simulating Users with State Alignment Beats Response Imitation.
CoRR, March, 2026

Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract).
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms.
CoRR, December, 2025

ProRefine: Inference-time Prompt Refinement with Textual Feedback.
CoRR, June, 2025

Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala.
CoRR, April, 2025

McMaster at LeWiDi-2025: Demographic-Aware RoBERTa.
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.
Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025

Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract).
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

ARTICLE: Annotator Reliability Through In-Context Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Harnessing Business and Media Insights with Large Language Models.
CoRR, 2024

Rater Cohesion and Quality from a Vicarious Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Vicarious Offense and Noise Audit of Offensive Speech Classifiers.
CoRR, 2023

Offensiveness as an Opinion: Dissecting population-level Label Distributions.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Improving Label Quality by Jointly Modeling Items and Annotators.
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

Annotator Response Distributions as a Sampling Frame.
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

2020
Neighborhood-Based Pooling for Population-Level Label Distribution Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2017
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools.
CoRR, 2017


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