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06/05/2023
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Utilizing language models (LMs) without internal access is becoming an a...
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01/27/2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
As the size of the pre-trained language model (PLM) continues to increas...
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12/21/2022
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Through in-context learning (ICL), large-scale language models are effec...
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10/20/2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Out-of-distribution (OOD) detection aims to discern outliers from the in...
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06/16/2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Large-scale pre-trained language models (PLMs) are well-known for being ...
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05/25/2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Despite recent explosion in research interests, in-context learning and ...
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04/22/2022
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
In recommendation systems, utilizing the user interaction history as seq...
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03/11/2022
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
The rapid growth of the online fashion market brought demands for innova...
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10/13/2021
False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation
Personalized outfit recommendation has recently been in the spotlight wi...
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05/18/2021
Masked Contrastive Learning for Anomaly Detection
Detecting anomalies is one fundamental aspect of a safety-critical softw...
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05/07/2021
Contrastive Learning for Unsupervised Image-to-Image Translation
Image-to-image translation aims to learn a mapping between different gro...
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09/23/2020
Semantics-Preserving Adversarial Training
Adversarial training is a defense technique that improves adversarial ro...
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07/24/2020
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
We propose a novel method that enables us to determine words that deserv...
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01/30/2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
With the recent success and popularity of pre-trained language models (L...
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01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
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01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
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09/19/2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
As an attempt to combine extractive and abstractive summarization, Sente...
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08/25/2019
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
We propose a simple approach to train better Korean word representations...
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06/04/2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
We present a latent variable model for predicting the relationship betwe...
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03/06/2019
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
We present several techniques to tackle the mismatch in class distributi...
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09/07/2018
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Data scarcity is one of the main obstacles of domain adaptation in spoke...
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09/07/2018
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations
Most existing recursive neural network (RvNN) architectures utilize only...
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09/07/2018
Cell-aware Stacked LSTMs for Modeling Sentences
We propose a method of stacking multiple long short-term memory (LSTM) l...
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05/18/2018
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension
We present a novel neural architecture for the Argument Reasoning Compre...
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12/02/2017
Improving Visually Grounded Sentence Representations with Self-Attention
Sentence representation models trained only on language could potentiall...
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08/14/2017
Style2Vec: Representation Learning for Fashion Items from Style Sets
With the rapid growth of online fashion market, demand for effective fas...
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08/05/2017
A Syllable-based Technique for Word Embeddings of Korean Words
Word embedding has become a fundamental component to many NLP tasks such...
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07/10/2017