CLIOPATRA attacks privacy-preserving LLM insight platforms with malicious chats to leak target medical histories with nearly 100% precision in 65% of cases, showing layered heuristic protections are insufficient.
Regularized LNS turns local search heuristics into MCMC samplers with Fenchel-Young losses, enabling exact block Gibbs sampling and end-to-end learning without global solvers.
LLM-based tree search discovers predictive zebrafish neural models that outperform forecasting baselines, though structural priors are needed to prevent shortcut exploitation and ensure mechanistic recovery.
TokenSwap benchmarks and reduces MLLMs' modality gap by interleaving visual tokens with text, finding reasoning models have smaller gaps and training with TokenSwap mitigates it.
KITScenes Multimodal provides European autonomous driving data with high-fidelity synchronized sensors, complete topologically connected 3D HD maps, and four embodied AI benchmarks.
PaGeR adapts perspective 3D foundation models to panoramas to predict depth, normals, and sky masks in one pass, achieving state-of-the-art 360-degree geometry estimation.
Autonomous diffusion models implicitly optimize a marginal energy landscape via Riemannian gradient flow, where a learned conformal metric neutralizes geometric singularities near data; velocity parameterization ensures stability, but noise prediction fails via a Jensen gap.
AI GameStore proposes evaluating general intelligence via scalable synthesis of human games, finding frontier vision-language models score under 10% of human averages on most generated games.
Croissant Baker generates validated Croissant metadata locally from dataset directories via modular handlers, achieving 97, 100% agreement with ground truth across 140+ datasets including MIMIC-IV.