MUCS improves diffusion model training data attribution via mirrored unlearning and noise-consistent skew, outperforming existing methods across datasets.
VTS frames grounded long-video QA as self-correcting search over an adaptive temporal tree with explicit backtracking, improving grounding and answer accuracy across benchmarks.