Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
Saehyung Lee*, Sangwon Yu*, Junsung Park, Jihun Yi, Sungroh Yoon, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Oral Presentation, Bangkok, Thailand, August 2024. [* equal contribution]
preprint link
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024.
preprint link
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon, in Proceedings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) – Industry Track, Mexico City, Mexico, June 2024.
paper link
Entropy is not Enough for Test-time Adaptation: From the Perspective of Disentangled Factors
Jonghyun Lee*, Dahuin Jung*, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon, in Proceedings of International Conference on Learning Representations (ICLR), Spotlight, Vienna, Austria, May 2024. [* equal contribution]
paper link arXiv
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 3, pp. 1618-1634, March 2024. [A preliminary version appeared in CVPR 2021, Nashville, USA, June 2021]
paper link github preliminary version
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon, in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), St. Julians, Malta, March 2024.
paper link arXiv