arXiv:2511.05524v1 Announce Type: new Abstract: LLM-based autonomous research agents report false claims: tasks marked “complete” despite missing artifacts, contradictory metrics,…
arXiv:2511.03891v2 Announce Type: replace-cross Abstract: Small, imbalanced datasets and poor input image quality can lead to high false predictions rates…
arXiv:2511.05385v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) utilizes external knowledge to augment Large Language Models’ (LLMs) reliability. For flexibility,…
arXiv:2511.05394v1 Announce Type: cross Abstract: We present an AI-assisted Augmented Reality assembly workflow that uses deep learning-based object recognition to…
arXiv:2511.04247v2 Announce Type: replace-cross Abstract: Multimodal co-embedding models, especially CLIP, have advanced the state of the art in zero-shot classification…
arXiv:2511.04685v1 Announce Type: new Abstract: We report about the algorithm, implementation and results submitted to the Integrated Healthcare Timetabling Competition…
arXiv:2511.03227v2 Announce Type: replace-cross Abstract: We present a node-based storytelling system for multimodal content generation. The system represents stories as…
arXiv:2511.04401v1 Announce Type: cross Abstract: Deep learning models achieve strong performance across various domains but often rely on spurious correlations,…
arXiv:2511.04422v1 Announce Type: cross Abstract: A formal link between regression and classification has been tenuous. Even though the margin maximization…
arXiv:2511.03499v2 Announce Type: replace-cross Abstract: Marine invasive species spread through global shipping and generate substantial ecological and economic impacts. Traditional…
