Sang-goo Lee
29 papers · 2018–2026 · 10 venues · across top CS/AI venues
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(5)
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Machine Learning
(21)
Natural Language Processing
(20)
Deep Learning
(19)
Learning Types Β· Machine Learning
(17)
Artificial Intelligence
(15)
Core AI
(13)
Learning Types Β· Deep Learning
(12)
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(9)
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(4)
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(3)
Keywords
large language model
(4)
pre-trained language model
(4)
language model
(4)
representation learning
(3)
natural language understanding
(3)
out-of-distribution detection
(3)
contrastive learning
(3)
natural language inference
(3)
variational autoencoder
(2)
feature extraction
(2)
reinforcement learning
(2)
domain adaptation
(2)
constituency parsing
(2)
latent variable model
(2)
cross-lingual transfer
(2)
transfer learning
(2)
data augmentation
(2)
text classification
(2)
self-supervised learning
(2)
attention mechanism
(2)
Papers
CUB: Benchmarking Context Utilisation Techniques for Language Models
ACL 2026
Task-aware Block Pruning with Output Distribution Signals for Large Language Models
EACL 2026
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
EACL 2026
When to Speak, When to Abstain: Contrastive Decoding with Abstention
ACL 2025
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Aligning Language Models to Explicitly Handle Ambiguity
EMNLP 2024
Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction
EMNLP 2024
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
ACL 2023
Multi-Scale Contrastive Learning for Complex Scene Generation
WACV 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
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models
EMNLP 2021
Self-Guided Contrastive Learning for BERT Sentence Representations
ACL 2021
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
ICLR 2020
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
SemEval 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
EMNLP 2020
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
ACL 2019
Cell-aware Stacked LSTMs for Modeling Sentences
ACML 2019
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
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations
AAAI 2019
SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
SemEval 2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
EMNLP 2019
Slot Filling with Delexicalized Sentence Generation
Interspeech 2018
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension
SemEval 2018