Sang-Woo Lee | DeepAI

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Featured Co-authors

Kyunghyun Cho
218 publications
Jung-Woo Ha
58 publications
Byoung-Tak Zhang
54 publications
Alice Oh
31 publications
Xiaodong Gu
30 publications
Sang-goo Lee
28 publications
Jiyoung Lee
27 publications
Jin-Hwa Kim
27 publications
Reinald Kim Amplayo
24 publications
Hyeji Kim
24 publications
Seung-won Hwang
24 publications

∙ 05/27/2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization

The deployment of large-scale generative models is often restricted by t...

0 Deokjae Lee, 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. ∙

∙ 12/20/2022

Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?

Task-oriented dialogue (TOD) systems are mainly based on the slot-fillin...

2 Sang-Woo Lee, et al. ∙

∙ 12/07/2022

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning

Recent studies have proposed unified user modeling frameworks that lever...

0 Kyuyong Shin, et al. ∙

∙ 10/17/2022

Keep Me Updated! Memory Management in Long-term Conversations

Remembering important information from the past and continuing to talk a...

0 Sanghwan Bae, 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. ∙

∙ 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. ∙

∙ 05/19/2022

Two-Step Question Retrieval for Open-Domain QA

The retriever-reader pipeline has shown promising performance in open-do...

15 Yeon Seonwoo, et al. ∙

∙ 04/30/2022

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models

Recent open-domain dialogue models have brought numerous breakthroughs. ...

0 Sanghwan Bae, et al. ∙

∙ 04/28/2022

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

Many recent studies on large-scale language models have reported success...

2 Seongjin Shin, et al. ∙

∙ 04/27/2022

Plug-and-Play Adaptation for Continuously-updated QA

Language models (LMs) have shown great potential as implicit knowledge b...

0 Kyungjae 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. ∙

∙ 06/18/2021

Weakly Supervised Pre-Training for Multi-Hop Retriever

In multi-hop QA, answering complex questions entails iterative document ...

8 Yeon Seonwoo, et al. ∙

∙ 05/30/2021

NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation

We propose NeuralWOZ, a novel dialogue collection framework that uses mo...

0 Sungdong 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. ∙

∙ 10/23/2020

ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding

Language model pre-training has shown promising results in various downs...

0 Minjeong Kim, et al. ∙

∙ 07/06/2020

CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic

Tracking suspected cases of COVID-19 is crucial to suppressing the sprea...

13 Sang-Woo Lee, et al. ∙

∙ 04/20/2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Automatic speech recognition (ASR) via call is essential for various app...

2 Jung-Woo Ha, et al. ∙

∙ 11/10/2019

Efficient Dialogue State Tracking by Selectively Overwriting Memory

Recent works in dialogue state tracking (DST) focus on an open vocabular...

0 Sungdong Kim, et al. ∙

∙ 02/22/2019

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation

Answerer in Questioner's Mind (AQM) is an information-theoretic framewor...

0 Sang-Woo Lee, et al. ∙

∙ 02/12/2018

Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue

Goal-oriented dialogue has been paid attention for its numerous applicat...

0 Sang-Woo Lee, et al. ∙

∙ 06/05/2016

Multimodal Residual Learning for Visual QA

Deep neural networks continue to advance the state-of-the-art of image r...

0 Jin-Hwa Kim, et al. ∙

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