Sanghwan Jang
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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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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Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Core Methods
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Application Areas
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Applications
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Resources & Methods
(1)
Keywords
language model
(2)
few-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
attention mechanism
(1)
knowledge distillation
(1)
in-context learning
(1)
code generation
(1)
time series forecasting
(1)
preference modeling
(1)
latent representation
(1)
training dynamics
(1)
dataset distillation
(1)
frequency domain
(1)
retrieval-augmented generation
(1)
multi-hop question answering
(1)
reasoning ability
(1)
recommender system
(1)
cross-domain recommendation
(1)
noisy label detection
(1)
Papers
Harmonic Dataset Distillation for Time Series Forecasting
AAAI 2026
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
EMNLP 2025
Exploring Language Model’s Code Generation Ability with Auxiliary Functions
NAACL 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
CVPR 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI 2024
Rectifying Demonstration Shortcut in In-Context Learning
NAACL 2024