Yeong-Dae Kwon

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
MEGA-GUI: Multi-stage Enhanced Grounding Agents for GUI Elements.
CoRR
SeokJoo Kwak, Jihoon Kim, Boyoun Kim, Jung Jae Yoon, Wooseok Jang, Jeonghoon Hong, Jaeho Yang, Yeong-Dae Kwon
2025 — conf
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora.
NAACL (Long Papers)
Joonho Lee, JuYoun Son, Juree Seok, Wooseok Jang, Yeong-Dae Kwon
2024 J jnl
CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only.
CoRR
Junhee Cho, Jihoon Kim, Daseul Bae, Jinho Choo, Youngjune Gwon, Yeong-Dae Kwon
2024 A* conf
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation.
ICML
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
2024 J jnl
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation.
CoRR
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
2024 J jnl
Less for More: Enhancing Preference Learning in Generative Language Models with Automated Self-Curation of Training Corpora.
CoRR
Joonho Lee, JuYoun Son, Juree Seok, Wooseok Jang, Yeong-Dae Kwon
2024 J jnl
Reinforcement learning to learn quantum states for Heisenberg scaling accuracy.
CoRR
Jeongwoo Jae, Jeonghoon Hong, Jinho Choo, Yeong-Dae Kwon
2022 A* conf
Efficient Active Search for Combinatorial Optimization Problems.
ICLR
André Hottung, Yeong-Dae Kwon, Kevin Tierney
2022 A* conf
Simulation-guided Beam Search for Neural Combinatorial Optimization.
NeurIPS
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
2022 J jnl
Simulation-guided Beam Search for Neural Combinatorial Optimization.
CoRR
Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon
2021 J jnl
Efficient Active Search for Combinatorial Optimization Problems.
CoRR
André Hottung, Yeong-Dae Kwon, Kevin Tierney
2021 J jnl
Matrix Encoding Networks for Neural Combinatorial Optimization.
CoRR
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
2021 A* conf
Matrix encoding networks for neural combinatorial optimization.
NeurIPS
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
2021 J jnl
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning.
CoRR
Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon
2020 A* conf
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning.
NeurIPS
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min
2020 J jnl
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning.
CoRR
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Seungjai Min, Youngjune Gwon