Author

Jaemoo Choi

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Preprint Sep 2026

LongTake: Learning to Sustain Dynamics in Long-Horizon Video Generation

World models, game simulators, and long-take video creation require coherent scene evolution and sustained dynamics over extended durations. Autoregressive (AR) video diffusion provides a natural framework for long-horizon generation, yet extended rollouts often become near-static or lose visual quality. We hypothesize...

Byoungwoo Park, Jaemoo Choi, Juho Lee et al. · 0 citations

#artificial intelligence Review May 2026

RMA: Context-Orchestrated Research Math Agents

RMA is an agentic framework for long-horizon proof development built around a persistent, typed research store and an orchestrator that compiles operation-specific context from that store and an orchestrator that compiles operation-specific context from that store.

Ze-Li Zhao, Bo Yuan, Yuchen Zhu et al. · 6 citations

#machine learning Preprint Aug 2026

Scaling Reinforcement Learning for Diffusion Models via Velocity Matching

This work proposes reward-based velocity matching (RVM), a simple trajectory-free update that acts directly on the velocity field and provides a general framework that recovers recent fine-tuning methods, including RAM and DiffusionNFT, as special cases.

Jaemoo Choi, Wei Guo, Yuchen Zhu et al. · 1 citation