Joongbo Shin

According to our database, Joongbo Shin authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring the Use of Natural Language Descriptions of Intents for Large Language Models in Zero-shot Intent Classification.

Taesuk Hong, Youbin Ahn, Dongkyu Lee, Joongbo Shin, Seungpil Won, Janghoon Han, Stanley Jungkyu Choi, Jungyun Seo

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning.

Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung

CoRR, 2023

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.

Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking.

Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, Kyomin Jung

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation.

Yongil Kim, Yerin Hwang, Joongbo Shin, Hyunkyung Bae, Kyomin Jung

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue Systems.

Janghoon Han, Joongbo Shin, Hosung Song, Hyunjik Jo, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi

CoRR, 2022

Towards Continual Knowledge Learning of Language Models.

Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo

Proceedings of the Tenth International Conference on Learning Representations, 2022

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models.

Joel Jang, Seonghyeon Ye, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights.

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech.

Yoonhyung Lee, Joongbo Shin, Kyomin Jung

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

KPQA: A Metric for Generative Question Answering Using Word Weights.

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung

CoRR, 2020

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning.

Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition.

Joongbo Shin, Yoonhyung Lee, Kyomin Jung

CoRR, 2019

Improving Neural Question Generation Using Answer Separation.

Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder.

Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering.

Seunghyun Yoon, Joongbo Shin, Kyomin Jung

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification.

Joongbo Shin, Yanghoon Kim, Seunghyun Yoon, Kyomin Jung

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018