by ODEFTO AI Labs
arXiv:2511.08087v1 Announce Type: cross Abstract: Evaluating identity preservation in generative models remains a critical yet unresolved challenge. Existing metrics rely…
arXiv:2511.07392v2 Announce Type: replace-cross Abstract: In da Vinci robotic surgery, surgeons’ hands and eyes are fully engaged in the procedure,…
arXiv:2511.07436v1 Announce Type: new Abstract: The integration of AI tools into medical applications has aimed to improve the efficiency of…
arXiv:2511.06696v1 Announce Type: cross Abstract: Pretrained equivariant graph neural networks based on spherical harmonics offer efficient and accurate alternatives to…
arXiv:2511.05459v2 Announce Type: replace-cross Abstract: Evaluating large language models (LLMs) for software engineering has been limited by narrow task coverage,…
arXiv:2511.05524v1 Announce Type: new Abstract: LLM-based autonomous research agents report false claims: tasks marked “complete” despite missing artifacts, contradictory metrics,…
arXiv:2511.05308v2 Announce Type: replace-cross Abstract: As 3D point clouds become a cornerstone of modern technology, the need for sophisticated generative…
arXiv:2511.06694v1 Announce Type: cross Abstract: Machine learning inference occurs at a massive scale, yet its environmental impact remains poorly quantified,…
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,…