Kim, Byoungjip

8 publications

ICML 2024 Degeneration-Free Policy Optimization: RL Fine-Tuning for Language Models Without Degeneration Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee

CVPRW 2024 Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee

NeurIPSW 2023 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee

NeurIPS 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee

NeurIPS 2022 Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee

CVPR 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, Jinyeop Chang, Youngjune Gwon, Hyung Jin Chang

AAAI 2020 DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon

NeurIPS 2020 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min