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ORCIDDaejin Jo
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2020 – today
- 2024
[c6]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. ACL (Findings) 2024: 14969-14981- [i8]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR abs/2407.16574 (2024) - 2023
- [c5]Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CVPR 2023: 23338-23348 - [c4]Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim:
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation. EMNLP (Findings) 2023: 2683-2702 - [i7]Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CoRR abs/2303.12208 (2023) - [i6]Eunbi Choi, Kyoung-Woon On, Gunsoo Han, Sungwoong Kim, Daniel Wontae Nam, Daejin Jo, Seungeun Rho, Taehwan Kwon, Minjoon Seo:
Effortless Integration of Memory Management into Open-Domain Conversation Systems. CoRR abs/2305.13973 (2023) - [i5]Daejin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim:
Hexa: Self-Improving for Knowledge-Grounded Dialogue System. CoRR abs/2310.06404 (2023) - 2022
- [c3]DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. COLING 2022: 5837-5856 - [c2]DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee:
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. NeurIPS 2022 - [i4]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin
, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i3]DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. CoRR abs/2209.08206 (2022) - [i2]DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee:
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. CoRR abs/2210.05409 (2022) - 2021
- [c1]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52 - 2020
- [i1]DaeJin Jo:
Token Manipulation Generative Adversarial Network for Text Generation. CoRR abs/2005.02794 (2020)
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