Search papers, labs, and topics across Lattice.
KAIST
5
0
8
9
Looped flows are proposed, an approach that allows solving harder problems by spending more computation through a finer temporal grid and enables multiple valid predictions from different initial noise samples.
GUIDE reshapes how multimodal models utilize evidence, enhancing their robustness and alignment with language instructions during reasoning tasks.
Distilling geometric relationships rather than features allows VLMs to improve spatial reasoning without bloating model size or sacrificing language alignment.
Achieving state-of-the-art HDR reconstruction quality, DOME-HDR reveals how dual-output synthesis can enhance both SDR and HDR imaging from bracketed inputs.
Forget slow, multi-step diffusion: this work achieves state-of-the-art text generation quality with a *single* denoising step using flow-based language models.
