Tuka Alhanai
5 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π Renaissance Researcher (5)
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Research topics
Deep Learning
(4)
Machine Learning
(3)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Analysis
(1)
Clinical
(1)
Core AI
(1)
Keywords
text classification
(2)
zero-shot learning
(1)
vision transformer
(1)
multi-task learning
(1)
offline reinforcement learning
(1)
conformal prediction
(1)
uncertainty quantification
(1)
multilingual nlp
(1)
cross-lingual transfer
(1)
sequence representation
(1)
supervised contrastive learning
(1)
low-resource language
(1)
diffusion model
(1)
semantic conditioning
(1)
masked language modeling
(1)
action segmentation
(1)
untrimmed video
(1)
medical text mining
(1)
adverse event detection
(1)
cultural adaptation
(1)
Papers
Polyphony: Diffusion-based Dual-Hand Action Segmentation with Alternating Vision Transformer and Semantic Conditioning
CVPR 2026
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
AAAI 2025
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework
AAAI 2025
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
EMNLP 2021
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations
EMNLP 2021