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2020 – today
- 2024
[c5]JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min:
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. ICML 2024- [i8]JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon
, Taehee Lee, Seungjai Min:
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. CoRR abs/2405.06424 (2024) - [i7]Junhee Cho, Jihoon Kim, Daseul Bae, Jinho Choo, Youngjune Gwon, Yeong-Dae Kwon:
CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only. CoRR abs/2406.06947 (2024) - [i6]JoonHo Lee, JuYoun Son, Juree Seok, Wooseok Jang, Yeong-Dae Kwon:
Less for More: Enhancing Preference Learning in Generative Language Models with Automated Self-Curation of Training Corpora. CoRR abs/2408.12799 (2024) - 2022
- [c4]André Hottung, Yeong-Dae Kwon, Kevin Tierney:
Efficient Active Search for Combinatorial Optimization Problems. ICLR 2022 - [c3]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. NeurIPS 2022 - [i5]Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon:
Simulation-guided Beam Search for Neural Combinatorial Optimization. CoRR abs/2207.06190 (2022) - 2021
- [c2]Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon:
Matrix encoding networks for neural combinatorial optimization. NeurIPS 2021: 5138-5149 - [i4]Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon:
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. CoRR abs/2101.06480 (2021) - [i3]André Hottung, Yeong-Dae Kwon, Kevin Tierney:
Efficient Active Search for Combinatorial Optimization Problems. CoRR abs/2106.05126 (2021) - [i2]Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon:
Matrix Encoding Networks for Neural Combinatorial Optimization. CoRR abs/2106.11113 (2021) - 2020
- [c1]Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min:
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. NeurIPS 2020 - [i1]Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, Youngjune Gwon:
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning. CoRR abs/2010.16011 (2020)
Coauthor Index
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