Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
arXiv:2609.17631v1 Announce Type: new Abstract: AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer…
Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs
arXiv:2609.17327v2 Announce Type: replace-cross Abstract: This paper describes our submission to the SHROOM-Visions shared task on detecting and classifying hallucinated…
Reliable Virtual Sensing: A Multi-Domain Benchmark for Robustness Under Sensor Failures
arXiv:2609.18396v1 Announce Type: cross Abstract: Virtual sensing, the estimation of hard-to-measure quantities from available sensor measurements, is a critical enabler…
GYROval: A Robust Benchmark for Cultural Value Orientation in Large Language Models
arXiv:2609.18384v1 Announce Type: cross Abstract: We present a robust benchmark for measuring cultural value orientation in large language models on…
A unified framework for global and local interpretability using adaptive derivative-ordered random explanation
arXiv:2609.17171v2 Announce Type: replace-cross Abstract: The interpretability of complex machine learning models is of paramount importance, especially in real-world high-stakes…
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Optimal Pruning for Neural Architectures using Fisher Information Distances
arXiv:2609.16129v1 Announce Type: new Abstract: A new scheme for parameter pruning is introduced, derived from the differential-geometric distance in model…
K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations
arXiv:2609.15855v2 Announce Type: replace-cross Abstract: People increasingly use large language models (LLMs) for mental health support, yet their safety in…
StackTok: Accelerating VLMs Inference with Budget-Adaptive Visual Token Selection
arXiv:2609.16841v1 Announce Type: cross Abstract: Increasing image resolution produces ever-longer visual-token sequences in vision-language models (VLMs), substantially raising their inference…