Kang Min Yoo | DeepAI

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Franck Dernoncourt
90 publications
Jung-Woo Ha
58 publications
Jaewoo Kang
54 publications
Trung Bui
52 publications
Minjoon Seo
45 publications
Kyomin Jung
37 publications
Xiaodong Gu
30 publications
Sang-goo Lee
28 publications
Jiyoung Lee
27 publications
Jin-Hwa Kim
27 publications
Sang-Woo Lee
25 publications

∙ 05/23/2023

Aligning Large Language Models through Synthetic Feedback

Aligning large language models (LLMs) to human values has become increas...

0 Sungdong Kim, et al. ∙

∙ 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...

0 Hyunsoo Cho, et al. ∙

∙ 12/21/2022

Critic-Guided Decoding for Controlled Text Generation

Steering language generation towards objectives or away from undesired c...

0 Minbeom Kim, et al. ∙

∙ 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...

0 Hyunsoo Cho, et al. ∙

∙ 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...

2 Hyunsoo Cho, et al. ∙

∙ 10/08/2022

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

There are growing interests in adapting large-scale language models usin...

8 Se Jung Kwon, et al. ∙

∙ 09/05/2022

Continuous Decomposition of Granularity for Neural Paraphrase Generation

While Transformers have had significant success in paragraph generation,...

1 Xiaodong Gu, et al. ∙

∙ 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 ...

10 Hyuhng Joon Kim, et al. ∙

∙ 05/25/2022

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Despite recent explosion in research interests, in-context learning and ...

23 Junyeob Kim, et al. ∙

∙ 05/25/2022

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Text-to-image generation and image captioning are recently emerged as a ...

0 Jin-Hwa Kim, et al. ∙

∙ 05/25/2022

Towards More Realistic Generation of Information-Seeking Conversations

In this paper, we introduce a novel framework SimSeek (simulating inform...

0 Gangwoo Kim, et al. ∙

∙ 05/04/2022

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Despite the recent advances in abstractive summarization systems, it is ...

0 Hwanhee Lee, et al. ∙

∙ 11/04/2021

Response Generation with Context-Aware Prompt Learning

Pre-trained language models (PLM) have marked a huge leap in neural dial...

0 Xiaodong Gu, et al. ∙

∙ 09/16/2021

Efficient Attribute Injection for Pretrained Language Models

Metadata attributes (e.g., user and product IDs from reviews) can be inc...

0 Reinald Kim Amplayo, et al. ∙

∙ 09/10/2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

GPT-3 shows remarkable in-context learning ability of large-scale langua...

0 Boseop Kim, et al. ∙

∙ 04/18/2021

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Large-scale language models such as GPT-3 are excellent few-shot learner...

0 Kang Min Yoo, et al. ∙

∙ 04/15/2021

Reward Optimization for Neural Machine Translation with Learned Metrics

Neural machine translation (NMT) models are conventionally trained with ...

0 Raphael Shu, et al. ∙

∙ 12/03/2020

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Recent advances in pre-trained language models have significantly improv...

0 Xiaodong Gu, et al. ∙

∙ 01/23/2020

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation

Recent works have shown that generative data augmentation, where synthet...

0 Kang Min Yoo, et al. ∙

∙ 01/23/2020

Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation

Recent works have shown that generative data augmentation, where synthet...

0 Kang Min Yoo, et al. ∙

∙ 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...

0 Kang Min Yoo, et al. ∙

∙ 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...

0 Kang Min Yoo, et al. ∙

∙ 12/02/2017

Improving Visually Grounded Sentence Representations with Self-Attention

Sentence representation models trained only on language could potentiall...

0 Kang Min Yoo, et al. ∙

∙ 07/10/2017

Learning to Compose Task-Specific Tree Structures

For years, recursive neural networks (RvNNs) have been shown to be suita...

0 Jihun Choi, et al. ∙

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