Jinho Choo

According to our database, Jinho Choo authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models.

Jinho Choo, JunSeung Lee, Jimyeong Kim, Yeeho Song, S. K. Hong, Yeong-Dae Kwon

CoRR, April, 2026

2025

SCALE: Upscaled Continual Learning of Large Language Models.

Jin-woo Lee, Junhwa Choi, Bongkyu Hwang, Jinho Choo, Bogun Kim, JeongSeon Yi, Joonseok Lee, DongYoung Jung, Jaeseon Park, Kyoungwon Park, Suk Hoon Jung

CoRR, November, 2025

2024

Reinforcement learning to learn quantum states for Heisenberg scaling accuracy.

Jeongwoo Jae, Jeonghoon Hong, Jinho Choo, Yeong-Dae Kwon

CoRR, 2024

CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only.

Junhee Cho, Jihoon Kim, Daseul Bae, Jinho Choo, Youngjune Gwon, Yeong-Dae Kwon

CoRR, 2024

2022

Simulation-guided Beam Search for Neural Combinatorial Optimization.

Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning.

Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon

CoRR, 2021

Matrix encoding networks for neural combinatorial optimization.

Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning.

Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning.

Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020