Hyunsoo Cho
17 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
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Learning Types · Machine Learning
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Artificial Intelligence
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Deep Learning
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Natural Language Processing
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Core AI
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Learning Types · Deep Learning
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Optimization & Theory
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Computer Vision
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Keywords
language model
(5)
large language model
(4)
out-of-distribution detection
(3)
in-context learning
(2)
retrieval-augmented generation
(2)
instruction tuning
(2)
disentangled representation
(2)
synthetic data
(2)
image generation
(1)
anomaly detection
(1)
offline reinforcement learning
(1)
ensemble learning
(1)
feature extraction
(1)
natural language processing
(1)
contrastive learning
(1)
domain adaptation
(1)
weakly supervised learning
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transfer learning
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few-shot learning
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self-supervised learning
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Papers
A More Word-like Image Tokenization for MLLMs
CVPR 2026
CUB: Benchmarking Context Utilisation Techniques for Language Models
ACL 2026
Inertia in Moral and Value Judgments of Large Language Models
ACL 2026
Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs
ACL 2025
GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles
ACL 2025
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Instruction Tuning with Human Curriculum
NAACL 2024
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model
ACL 2024
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
ACL 2023
Finding the Global Semantic Representation in GAN through Fréchet Mean
ICLR 2023
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
ICML 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
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
EMNLP 2023
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
EMNLP 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
EMNLP 2022
Masked Contrastive Learning for Anomaly Detection
IJCAI 2021