Claims Browser

The EU AI Act's high-risk obligations have applied since August 2, 2026

"the EU AI Act, whose high-risk obligations have applied since 2 August 2026"

No surveyed accountability instrument resolves five identified structural tensions in LLM governance

"five structural tensions that no surveyed instrument resolves"

The LAAF integrated accountability architecture is a synthesis of surveyed evidence rather than a validated artifact

"it is a synthesis of the surveyed evidence rather than a validated artefact"

TwinKV does not help performance on few-shot classification exemplar tasks

"We also identify few-shot classification exemplars as a task structure where TwinKV does not help on either model."

Off-the-shelf ultrasound and vision foundation models poorly handle fetal abdominal circumference detection in blind sweeps

"positive frames account for under 3% of a sequence, form short contiguous segments, and are poorly handled by off-the-shelf ultrasound and vision foundation models"

A new large-scale dataset of 115K scenes is the first hybrid dataset for image-to-scene generation

"we construct a new large-scale dataset of 115K scenes. To the best of our knowledge, it is the first hybrid dataset for image-to-scene generation."

Detecting the fetal abdominal circumference standard plane in low-cost obstetric blind sweeps is a highly imbalanced frame-classification problem where positive frames account for under 3% of a sequence

"Detecting the fetal abdominal circumference standard plane in low-cost obstetric blind sweeps is a highly imbalanced frame-classification problem: positive frames account for under 3% of a sequence"

AnatoProto outperforms the strongest foundation-model baseline by 13.20 F1 points and the strongest video temporal-action-detection baseline by 15.76 F1 points on the ACOUSLIC-AI benchmark

"On the ACOUSLIC-AI benchmark, AnatoProto reaches a test F1 of 67.72, outperforming the strongest foundation-model baseline (FetalCLIP + PRS, F1 = 54.52) by +13.20 F1 and the strongest video temporal-action-detection baseline (TriDet + PRS) by +15.76 F1"

Prototype loss and anatomy-weighted pooling exhibit non-additive synergy: prototype loss alone reduces recall by 12 points, but combined with anatomy-weighted pooling it increases recall by 6.5 points

"A synergy study, backed by embedding geometry and paired-bootstrap confidence intervals, shows that the prototype loss and anatomy-weighted pooling are not additive: applied alone the prototype loss reduces recall by 12 points, but combined with anatomy-weighted pooling it increases recall by 6.5 points"

Anatomy-weighted spatial pooling using nnU-Net abdominal-region probabilities as a spatial prior enables frozen semantic features to be aggregated onto anatomically meaningful regions

"anatomy-weighted spatial pooling that uses nnU-Net abdominal-region probabilities as a spatial prior to reweight BiomedCLIP patch tokens, so frozen semantic features are aggregated onto anatomically meaningful regions"

On-policy self-distillation (OPSD) has recently emerged as an effective post-training paradigm that improves policy optimization through dense token-level supervision from a privileged self-teacher

"On-policy self-distillation (OPSD) has recently emerged as an effective post-training paradigm that improves policy optimization through dense token-level supervision from a privileged self-teacher."

OPSD remains largely underexplored for Video Large Language Models despite its promise

"Despite its promise, OPSD remains largely underexplored for Video Large Language Models (Video-LLMs)."

Long videos contain substantial temporal redundancy, with only a small subset of frames providing the evidence necessary to answer a question

"long videos contain substantial temporal redundancy, and only a small subset of frames provides the evidence necessary to answer a question."

Video-OPSD achieves performance comparable to GRPO while requiring substantially less training time

"achieves performance comparable to GRPO while requiring substantially less training time"

Evidence-Grounded Self-Teacher enables the teacher to provide more informative supervision by conditioning exclusively on annotated evidence frames

"This focused visual input enables the teacher to provide more informative supervision."

Privacy-Enhancing Technologies in computer vision that rely on noise or image perturbations create a trade-off between task performance and protection

"Privacy-Enhancing Technologies (PETs) in computer vision often rely on noise or image perturbations to protect visual data while securely processing it, creating a trade-off between task performance and protection."

Image classification is too simplistic as a proxy for evaluating privacy-enhancing technologies across generic vision tasks

"This trade-off is commonly evaluated using image classification, which primarily captures semantic separability and remains robust despite significant geometric, spatial layout or local boundary alterations. As a result, it is too simplistic as a proxy for generic vision tasks."

PETs with similar classification accuracy can differ substantially on other vision tasks

"Across irreversible privacy transformations, key-based block primitives, and learnable image encryption schemes, we demonstrate that PETs with similar classification accuracy can differ substantially on other tasks."