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Sanghwan Bae
Sanghwan Bae
NAVER CLOVA
Verified email at navercorp.com
Title
Cited by
Cited by
Year
Summary level training of sentence rewriting for abstractive summarization
S Bae, T Kim, J Kim, S Lee
EMNLP 2019 Workshop, 10-20, 2019
842019
Keep Me Updated! Memory Management in Long-term Conversations
S Bae, D Kwak, S Kang, MY Lee, S Kim, Y Jeong, H Kim, SW Lee, W Park, ...
EMNLP 2022 Findings, 2022
432022
Aligning Large Language Models through Synthetic Feedback
S Kim, S Bae, J Shin, S Kang, D Kwak, KM Yoo, M Seo
EMNLP 2023, 2023
402023
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models
S Bae, D Kwak, S Kim, D Ham, S Kang, SW Lee, W Park
NAACL 2022, 2022
382022
Dynamic compositionality in recursive neural networks with structure-aware tag representations
T Kim, J Choi, D Edmiston, S Bae, S Lee
AAAI 2019 33 (01), 6594-6601, 2019
292019
SNU_IDS at SemEval-2019 task 3: Addressing training-test class distribution mismatch in conversational classification
S Bae, J Choi, S Lee
NAACL 2019 Workshop, 2019
112019
HyperCLOVA X Technical Report
KM Yoo, J Han, S In, H Jeon, J Jeong, J Kang, H Kim, KM Kim, M Kim, ...
arXiv preprint arXiv:2404.01954, 2024
12024
Syntactic analysis apparatus and method for the same
SS Park, CW Chun, CI Park, SH Park, JK Lee, HT Kim, SG Lee, KM Yoo, ...
US Patent 11,714,960, 2023
2023
Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation
T Kim, J Shin, YH Kim, S Bae, S Kim
arXiv preprint arXiv:2305.13857, 2023
2023
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