Minseok Kim
18 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
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Keywords
recommender system
(2)
retrieval-augmented generation
(2)
deep neural network
(2)
label noise
(2)
feature extraction
(1)
text classification
(1)
reward modeling
(1)
noisy label learning
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anomaly detection
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knowledge distillation
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data augmentation
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question answering
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named entity recognition
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information retrieval
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sentiment classification
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dataset creation
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passage retrieval
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multi-label classification
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language model alignment
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Papers
Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
EACL 2026
Generalized Category Discovery for LiDAR Semantic Segmentation
WACV 2026
Physics-Informed Approach for Exploratory HamiltonโJacobiโBellman Equations via Policy Iterations
AAAI 2026
Word2Passage: Word-level Importance Re-weighting for Query Expansion
ACL 2025
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
EMNLP 2025
MemeInterpret: Towards an All-in-One Dataset for Meme Understanding
EMNLP 2025
On-the-fly Category Discovery for LiDAR Semantic Segmentation
ECCV 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
Aligning Large Language Models via Fine-grained Supervision
ACL 2024
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
COLING 2024
LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar
ECCV 2024
NR-Surface: NextG-ready ยตW-reconfigurable mmWave Metasurface
NSDI 2024
Pose-Guided 3D Human Generation in Indoor Scene
AAAI 2023
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
AAAI 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
NIPS 2021
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
ICML 2019