arXiv:2608.21464v1 Announce Type: cross Abstract: We demonstrate that structured distortion of training data – which we term complexity induction – can…
Category: AI
Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
arXiv:2608.21441v1 Announce Type: cross Abstract: Automated training of surgeons is one of the most crucial factors that significantly minimize surgical…
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
arXiv:2608.21462v1 Announce Type: cross Abstract: Due to the selection of their training data, large language models (LLMs) perform best on…
Mitigating Bias in Large Vision-Language Models via Counterfactual Ensemble Decoding
arXiv:2608.21415v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have achieved remarkable performance across a wide range of tasks;…
Agentic Security: A Systematization of Tools, Failure Modes, and Design Laws for LLM-Driven Penetration Testing
arXiv:2608.21423v1 Announce Type: cross Abstract: Agentic security uses large-language-model (LLM) agents to plan, dispatch, and interpret security tools.…
Operational digital twin clinics enable task-based evaluation of embodied AI
arXiv:2608.21416v1 Announce Type: cross Abstract: Embodied artificial intelligence (AI) must be tested in the clinical environments where it will operate,…
Aligning Human Sense: Calibrated Distributional Reward Learning for Video Generation
arXiv:2608.21425v1 Announce Type: cross Abstract: Video generation is central to AI-powered content creation. Aligning generated videos with human…
AI Method Reveals What Genomic Models Learn From DNA and Exposes Hidden Experimental Bias
Researchers at the Stowers Institute for Medical Research have built an interpretation method that shows, base by base, what a deep-learning model has…
Geo-VLA: Geometry-Aware Vision-Language-Action Planning via Internalization of Map Semantics
arXiv:2608.21440v1 Announce Type: cross Abstract: Vision-language-action (VLA) models have advanced end-to-end autonomous driving by leveraging foundation…
Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of SmolVLA Vision-Language-Action Experts
arXiv:2608.21407v1 Announce Type: cross Abstract: Vision-language-action (VLA) models face a crucial tradeoff between their task success rate and the…
