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Conference and Workshop Papers
- 2024
[c4]Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong, Saehun Kim, Keunchan Park, Sarah Cho, Inchang Jeong, Gyohee Nam, Sunghoon Han, Wonil Yang, Jaeho Choi:
RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine. EMNLP (Industry Track) 2024: 627-641- 2023
- [c3]Youngjune Lee
, Yeongjong Jeong, Keunchan Park, SeongKu Kang:
MvFS: Multi-view Feature Selection for Recommender System. CIKM 2023: 4048-4052 - 2022
- [c2]Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim:
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents. NAACL-HLT (Findings) 2022: 813-830 - 2021
- [c1]Youngjune Lee, Kee-Eung Kim:
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. CIKM 2021: 3186-3190
Informal and Other Publications
- 2024
- [i4]Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong, Saehun Kim, Keunchan Park, Jaeho Choi, Sarah Cho, Inchang Jeong, Gyohee Nam, Sunghoon Han, Wonil Yang:
RRADistill: Distilling LLMs' Passage Ranking Ability for Document Re-Ranking of Long-Tail Queries in a Search Engine. CoRR abs/2410.18097 (2024) - 2023
- [i3]Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang:
MvFS: Multi-view Feature Selection for Recommender System. CoRR abs/2309.02064 (2023) - 2021
- [i2]Youngjune Lee, Kee-Eung Kim:
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. CoRR abs/2109.03459 (2021) - [i1]Youngjune Lee, Oh Joon Kwon, Haeju Lee, Joonyoung Kim, Kangwook Lee, Kee-Eung Kim:
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI. CoRR abs/2112.03837 (2021)
Coauthor Index
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