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How Far Are Surgeons from Surgical World Models? A Pilot Study on Zero-shot Surgical Video Generation with Expert Assessment
arXiv:2511.01775v1 Announce Type: cross Abstract: Foundation models in video generation are demonstrating remarkable capabilities as potential world models for simulating the physical world. However,…
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Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
arXiv:2511.00379v1 Announce Type: new Abstract: Ensuring that Large Language Models (LLMs) align with the diverse and evolving human values across different regions and cultures…
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When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
arXiv:2511.01458v1 Announce Type: cross Abstract: Safety and reliability are essential for deploying Visual Question Answering (VQA) in surgery, where incorrect or ambiguous responses can…
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Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities
arXiv:2511.00340v1 Announce Type: new Abstract: The rapid integration of large language models (LLMs) into high-stakes legal work has exposed a critical gap: no benchmark…
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Automotive Crash Dynamics Modeling Accelerated with Machine Learning
arXiv:2510.15201v3 Announce Type: replace-cross Abstract: Crashworthiness assessment is a critical aspect of automotive design, traditionally relying on high-fidelity finite element (FE) simulations that are…
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GEPOC Parameters — Open Source Parametrisation and Validation for Austria, Version 2.0
arXiv:2511.00048v1 Announce Type: new Abstract: GEPOC, short for Generic Population Concept, is a collection of models and methods for analysing population-level research questions. For…
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