Christopher M. Homan
9 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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Mega-Team · Squad
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Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Natural Language Processing
(5)
Core AI
(5)
Learning Types · Machine Learning
(4)
Applications · Natural Language Processing
(3)
Resources & Methods
(3)
Application Areas
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications · Data Science & Analytics
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
annotation quality
(2)
large language model
(2)
in-context learning
(2)
low-resource language
(2)
annotator reliability
(2)
multilingual nlp
(1)
data augmentation
(1)
social media analysis
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
offensive language detection
(1)
content moderation
(1)
ai safety
(1)
label aggregation
(1)
human feedback
(1)
data quality
(1)
language model fine-tuning
(1)
distributional prediction
(1)
ai alignment
(1)
human annotation
(1)
Papers
ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract)
AAAI 2026
Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment
ACL 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
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
Rater Cohesion and Quality from a Vicarious Perspective
EMNLP 2024
Findings from the Bambara - French Machine Translation Competition (BFMT 2023)
EACL 2023