Doyoung Kim
17 papers · 2017–2026 · 8 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
π
Grand Slam
ποΈ
Keyword Collector
(74)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(9)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Natural Language Processing
(7)
Application Areas
(7)
Core AI
(7)
Architectures
(4)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Applications
(2)
Core Methods
(2)
Keywords
language model
(4)
zero-shot learning
(3)
prompt tuning
(2)
instruction tuning
(2)
chain of thought
(2)
instruction following
(2)
retrieval-augmented generation
(2)
large language model
(2)
few-shot learning
(1)
test-time adaptation
(1)
image classification
(1)
transformer
(1)
knowledge distillation
(1)
task generalization
(1)
self-supervised learning
(1)
catastrophic forgetting
(1)
query expansion
(1)
distribution shift
(1)
robust learning
(1)
mathematical reasoning
(1)
Papers
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
AAAI 2026
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
ACL 2026
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
ICLR 2025
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
ICLR 2024
How Well Do Large Language Models Truly Ground?
NAACL 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
EMNLP 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
EMNLP 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
ICLR 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
NeurIPS 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
AAAI 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks
ICCV 2017