Epistemic uncertainty should decrease as additional information about the data-generating process (DGP) becomes availabl…
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Suspicion is an important, yet elusive concept in anti-money laundering and counter-terrorist financing (AML/CFT), which…
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Efficient request scheduling is increasingly important for reducing completion time in large language model (LLM) servin…
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Online data selection has demonstrated substantial efficiency gains for LLM pretraining by training on the most valuable…
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A targeted adversarial perturbation can drive a vision-language model's (VLM's) teacher-forced training loss for a fixed…
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Recent progress in multimodal, high-dimensional learning has enabled foundation models to process heterogeneous, large-s…
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Post-training with verifiable rewards can induce reward hacking, motivating the use of monitors within the training obje…
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Accurate colon segmentation from CT images is essential for colorectal disease analysis, yet deep learning based methods…
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Many reinforcement-learning (RL) problems are non-stationary yet structured and can be decomposed into phases, each with…
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Long-horizon mobile manipulation presents significant challenges due to compounding execution errors and capacity interf…
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We introduce AREX, a training-free sampler for pretrained flow matching models that uses the target mean and covariance…
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Adversarial patches can disrupt Vision-Language-Action (VLA) models by manipulating visual observations, leading to fail…
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Mechanistic edits (ablations, weight edits, activation steering) are the standard tools for unlearning a harmful capabil…
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Chain-of-thought (CoT) reasoning allows humans to inspect how large language models reach their answers, and oversee mod…
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Recent advances in autoregressive video generation have improved temporal consistency over extended durations, yet inter…
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A reasoning model asked whether a causal effect is recoverable from observational data can fail in two ways: it refuses…
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General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schema…
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Explainers for Graph Neural Networks (GNNs) are commonly evaluated by their plausibility, i.e., how well their explanati…
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Generating progressively harder reasoning problems requires synthesis procedures that adapt as the task distribution evo…
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Cephalonauts One is a whole-brain 3 Tesla (3T) functional magnetic resonance imaging (fMRI) dataset recorded while subje…
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