by ODEFTO AI Labs
arXiv:2608.09138v2 Announce Type: replace-cross Abstract: While learned robotic policies hold promise for advancing generalizable manipulation, their practical deployment is often…
arXiv:2608.10729v1 Announce Type: cross Abstract: Foundation models can improve their outputs through a self-refinement process driven by external feedback. In…
arXiv:2608.10730v1 Announce Type: cross Abstract: The pursuit of artificial general intelligence (AGI) rests on a seemingly self-evident premise: that general…
arXiv:2608.09548v2 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in education as tutors, teaching assistants, and content generators.…
arXiv:2608.09949v1 Announce Type: new Abstract: This study evaluates the application of Large Language Models (LLMs) in complex biological systems, evolving…
arXiv:2608.05656v2 Announce Type: replace-cross Abstract: Safety risks of AI are becoming increasingly evident in human interactions with AI technologies. The…
arXiv:2608.08941v1 Announce Type: cross Abstract: Operational Design Domain (ODD) specifications describe where an automated driving system (ADS) is permitted to…
arXiv:2608.08954v1 Announce Type: cross Abstract: Ensemble forecasting aims to sample the conditional distribution of outcomes; whether AI forecast ensembles do…
arXiv:2608.07254v2 Announce Type: replace-cross Abstract: The increasing specialization of scientific research challenges existing classification systems, which provide effective representations of…
arXiv:2608.07473v1 Announce Type: new Abstract: Evaluative AI (EAI) has been recently proposed as a way to support human decision-making, not…