Joo-Kyung Kim

According to our database, Joo-Kyung Kim authored at least 19 papers between 2006 and 2025.

Collaborative distances:

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

2025

Align to Structure: Aligning Large Language Models with Structural Information.

Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang

CoRR, April, 2025

MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning.

Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models.

Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation.

Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering.

Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim

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

2023

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models.

Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim

CoRR, 2023

Cluster-Guided Label Generation in Extreme Multi-Label Classification.

Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding.

Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification.

Joo-Kyung Kim, Young-Bum Kim

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding.

Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya

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

Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates.

Joo-Kyung Kim, Young-Bum Kim

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Supervised Domain Enablement Attention for Personalized Domain Classification.

Joo-Kyung Kim, Young-Bum Kim

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources.

Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Intent detection using semantically enriched word embeddings.

Joo-Kyung Kim, Gökhan Tür, Asli Celikyilmaz, Bin Cao, Ye-Yi Wang

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Adjusting Word Embeddings with Semantic Intensity Orders.

Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

2015

Neural word embeddings with multiplicative feature interactions for tensor-based compositions.

Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

2013

Deriving Adjectival Scales from Continuous Space Word Representations.

Joo-Kyung Kim, Marie-Catherine de Marneffe

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2007

Evolving hypernetworks for pattern classification.

Joo-Kyung Kim, Byoung-Tak Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

DNA Hypernetworks for Information Storage and Retrieval.

Byoung-Tak Zhang, Joo-Kyung Kim

Proceedings of the DNA Computing, 12th International Meeting on DNA Computing, 2006