SearchDiff integrates informed search into masked diffusion denoising to enforce hard constraints and optimize non-differentiable properties at inference time without retraining, outperforming discrete diffusion and autoregressive baselines.
Existing plasticity diagnostics fail to predict trainability, but optimization readiness, combining gradient strength and reliability, lower-bounds optimization gain and predicts plasticity more reliably.
PixelDense aligns pixel diffusion with frozen dense-prediction teachers via separate semantic and geometric projection streams and orthogonality penalties, improving GenEval to 0.8093 and training speed by 1.23x.
OmniShotCut reframes shot boundary detection as structured relational prediction via a shot-query transformer, outperforming existing methods on a new synthetic benchmark.
A causal framework reveals standard visual attribution methods poorly explain chest X-ray reasoning in vision-language models, and MedFocus improves evidence localization via concept-based optimal transport.
AgentCollabBench introduces 900 diagnostic tasks showing multi-agent collaboration failures stem from topology, not just model capability. Communication topology explains 7-40% of variance as converging nodes discard minority-branch constraints.
CASL aligns diffusion model sparse latents with semantic concepts via supervised linear mapping, enabling precise concept-specific editing and causal interpretability.