Rafet Sifa
11 papers · 2020–2026 · 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
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🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Prolific Year · Productive
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The Questioner
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Century Club · Bronze
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Machine Learning
(7)
Natural Language Processing
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Artificial Intelligence
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Deep Learning
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Learning Types · Machine Learning
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Healthcare & Medicine
(3)
Clinical
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
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Core Methods
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Generation
(2)
Resources & Methods
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Understanding
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Computer Vision
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Keywords
large language model
(2)
cross-lingual transfer
(2)
knowledge distillation
(2)
3d reconstruction
(1)
transfer learning
(1)
ensemble learning
(1)
few-shot learning
(1)
scene understanding
(1)
policy gradient
(1)
visual question answering
(1)
named entity recognition
(1)
multilingual nlp
(1)
data augmentation
(1)
word sense disambiguation
(1)
text classification
(1)
reinforcement learning
(1)
text generation
(1)
privacy preservation
(1)
sequence tagging
(1)
image classification
(1)
Papers
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
MIDL 2026
Bridging Language and Scenes through Explicit 3-D Model Construction
COLING 2025
Effective Disjoint Representational Learning for Anatomical Segmentation
MIDL 2025
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
EMNLP 2025
Learning from a Few Shots: Data-efficient Cervical Vertebral Maturation Assessment
MIDL 2025
MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning
COLING 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models
COLING 2025
Tokenizer Choice For LLM Training: Negligible or Crucial?
NAACL 2024
Word Sense Disambiguation as a Game of Neurosymbolic Darts
COLING 2024
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
ICLR 2023
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
COLING 2020