Kang Min Yoo
31 papers · 2018–2025 · 9 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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Venues
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Research topics
Machine Learning
(25)
Natural Language Processing
(23)
Artificial Intelligence
(20)
Deep Learning
(19)
Core AI
(15)
Learning Types Β· Deep Learning
(15)
Learning Types Β· Machine Learning
(14)
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Models
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Generation
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(4)
Keywords
large language model
(9)
language model
(4)
in-context learning
(4)
parameter-efficient fine-tuning
(3)
knowledge distillation
(3)
pre-trained language model
(3)
few-shot learning
(3)
model compression
(3)
data augmentation
(3)
korean language
(3)
out-of-distribution detection
(2)
synthetic data
(2)
zero-shot learning
(2)
reward model
(2)
contrastive learning
(2)
language model alignment
(2)
natural language understanding
(2)
representation learning
(2)
transfer learning
(2)
prompt engineering
(2)
Papers
KMMLU: Measuring Massive Multitask Language Understanding in Korean
NAACL 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
ICML 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
ICLR 2025
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
ACL 2025
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Aligning Language Models to Explicitly Handle Ambiguity
EMNLP 2024
Aligning Large Language Models by On-Policy Self-Judgment
ACL 2024
Instruction Tuning with Human Curriculum
NAACL 2024
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
NeurIPS 2024
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
HyperT5: Towards Compute-Efficient Korean Language Modeling
ACL 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NeurIPS 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
ACL 2023
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners
AAAI 2023
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method
COLING 2022
Continuous Decomposition of Granularity for Neural Paraphrase Generation
COLING 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
EMNLP 2022
Generating Information-Seeking Conversations from Unlabeled Documents
EMNLP 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
EMNLP 2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
NAACL 2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
NeurIPS 2022
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
AAAI 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
EMNLP 2021
Self-Guided Contrastive Learning for BERT Sentence Representations
ACL 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
EMNLP 2020
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
AAAI 2019
Donβt Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
EMNLP 2019
Slot Filling with Delexicalized Sentence Generation
Interspeech 2018