Hyeongu Yun

According to our database, Hyeongu Yun authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval.

Soyoung Yoon, Eunbi Choi, Jiyeon Kim, Yireun Kim, Hyeongu Yun, Seung-won Hwang

CoRR, 2024

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following.

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

In-Context Instruction Learning.

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo

CoRR, 2023

PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning.

Yongil Kim, Yerin Hwang, Hyeongu Yun, Seunghyun Yoon, Trung Bui, Kyomin Jung

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

2022

Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction.

Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, Kyomin Jung

IEEE Access, 2022

Modality Alignment between Deep Representations for Effective Video-and-Language Learning.

Hyeongu Yun, Yongil Kim, Kyomin Jung

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder.

Hyeongu Yun, Yongil Kim, Taegwan Kang, Kyomin Jung

IEEE Access, 2021

Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information.

Yongkeun Hwang, Hyeongu Yun, Kyomin Jung

Proceedings of the Sixth Conference on Machine Translation, 2021

2020

Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding.

Hyeongu Yun, Yongkeun Hwang, Kyomin Jung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017

Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network.

Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017