Taehong Moon

According to our database, Taehong Moon authored at least 4 papers in 2025.

Collaborative distances:

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

2025

Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models.

Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos

CoRR, October, 2025

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects.

Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens.

Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance.

Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

Proceedings of the Thirteenth International Conference on Learning Representations, 2025