Doyoung Kim
17 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
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AAAI (4)
EMNLP (3)
ICLR (3)
ACL (2)
ICML (2)
ICCV (1)
NAACL (1)
NIPS (1)
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Keywords
language model
(3)
zero-shot learning
(2)
chain of thought
(2)
instruction tuning
(2)
retrieval-augmented generation
(2)
mathematical reasoning
(1)
few-shot learning
(1)
image classification
(1)
soft prompt
(1)
instruction following
(1)
label noise
(1)
query expansion
(1)
robust learning
(1)
deep neural network
(1)
supervised fine-tuning
(1)
knowledge distillation
(1)
zero-shot generalization
(1)
data pruning
(1)
self-supervised learning
(1)
catastrophic forgetting
(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
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
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
How Well Do Large Language Models Truly Ground?
NAACL 2024
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
ICLR 2024
Semiparametric Token-Sequence Co-Supervision
ACL 2024
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
NIPS 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
EMNLP 2023
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
ICLR 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 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