Tharindu Cyril Weerasooriya
10 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(4)
Learning Types
(4)
Applications · Natural Language Processing
(3)
Resources & Methods
(3)
Application Areas
(2)
Generation
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications · Data Science & Analytics
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
chain-of-thought reasoning
(2)
in-context learning
(2)
large language model
(2)
annotator reliability
(2)
annotation quality
(2)
low-resource language
(2)
annotator disagreement
(2)
machine translation
(1)
natural language processing
(1)
probabilistic modeling
(1)
prompt engineering
(1)
social media analysis
(1)
offensive language detection
(1)
content moderation
(1)
data quality
(1)
sentiment analysis
(1)
label distribution learning
(1)
data augmentation
(1)
human feedback
(1)
multilingual nlp
(1)
Papers
Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer
EACL 2026
ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract)
AAAI 2026
ARTICLE: Annotator Reliability Through In-Context Learning
AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
AAAI 2025
LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo
EMNLP 2025
Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala
NAACL 2025
Rater Cohesion and Quality from a Vicarious Perspective
EMNLP 2024
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo
ACL 2023
Findings from the Bambara - French Machine Translation Competition (BFMT 2023)
EACL 2023
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning
ACL 2023