In-Chang Baek

18 papers A* 1C 4Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
GPTalk: LLM-based virtual companions for metacognitive growth in self-regulated e-learning.
Int. J. Hum. Comput. Stud.
In-Taek Jung, ChungHa Lee, In-Chang Baek, Dongik Oh, Youjin Choi, Kyung-Joong Kim, Duk-Jo Kong, Jin-Hyuk Hong
2026 J jnl
Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation.
CoRR
In-Chang Baek, Jiyun Jung, Geum-Hwan Hwang, Sung-Hyun Kim, Kyung-Joong Kim
2026 A* conf
µCap: Instrumental Music Captions for Deaf and Hard-of-Hearing Individuals.
CHI
Sooyeon Ahn, In-Chang Baek, Kyung-Joong Kim, Khai N. Truong, Jin-Hyuk Hong
2025 J jnl
A Humanoid Visual-Tactile-Action Dataset for Contact-Rich Manipulation.
CoRR
Eunju Kwon, Seungwon Oh, In-Chang Baek, Yucheon Park, Gyungbo Kim, JaeYoung Moon, Yunho Choi, Kyung-Joong Kim
2025 J jnl
Human-Aligned Procedural Level Generation Reinforcement Learning via Text-Level-Sketch Shared Representation.
CoRR
In-Chang Baek, Seoyoung Lee, Sung-Hyun Kim, Geumhwan Hwang, Kyung-Joong Kim
2025 C conf
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation.
CoG
In-Chang Baek, Sung-Hyun Kim, Seo-Young Lee, Dong-Hyeon Kim, Kyung-Joong Kim
2025 J jnl
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation.
CoRR
In-Chang Baek, Sung-Hyun Kim, Seo-Young Lee, Dong-Hyeon Kim, Kyung-Joong Kim
2025 J jnl
Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL.
CoRR
Sung-Hyun Kim, In-Chang Baek, Seo-Young Lee, Geum-Hwan Hwang, Kyung-Joong Kim
2025 J jnl
PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning.
CoRR
In-Chang Baek, Sung-Hyun Kim, Sam Earle, Zehua Jiang, Jinha Noh, Julian Togelius, Kyung-Joong Kim
2025 J jnl
Seamless Tutorial: Contextual State Transition Generation Based on Player Internal Knowledge.
IEEE Trans. Games
In-Chang Baek, TaeHwa Park, Kyung-Joong Kim
2024 C conf
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation.
CoG
In-Chang Baek, TaeHwa Park, Jinha Noh, Cheong-mok Bae, Kyung-Joong Kim
2024 J jnl
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation.
CoRR
In-Chang Baek, TaeHwa Park, Jinha Noh, Cheong-mok Bae, Kyung-Joong Kim
2024 J jnl
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games.
IEEE Trans. Games
Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyoun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim
2023 J jnl
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games.
CoRR
Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim
2022 J jnl
A Swapping Target Q-Value Technique for Data Augmentation in Offline Reinforcement Learning.
IEEE Access
Ho-Taek Joo, In-Chang Baek, Kyung-Joong Kim
2022 C conf
Toward Cooperative Level Generation in Multiplayer Games: A User Study in Overcooked!
CoG
In-Chang Baek, Taegwan Ha, TaeHwa Park, Kyung-Joong Kim
2022 C conf
Turing Test Framework for Cooperative Games.
CoG
In-Chang Baek, TaeHwa Park, Taegwan Ha, Kyung-Joong Kim
2018 — conf
Web-Based Interface for Data Labeling in StarCraft.
CIG
In-Chang Baek, Kyung-Joong Kim