arXiv:2507.05999v2 Announce Type: replace-cross Abstract: Accurate geo-registration of LiDAR point clouds presents significant challenges in GNSS signal denied urban areas…
arXiv:2507.06959v1 Announce Type: cross Abstract: Vision-language models (VLMs) are prone to hallucinations that critically compromise reliability in medical applications. While…
arXiv:2507.06952v1 Announce Type: cross Abstract: Foundation models are premised on the idea that sequence prediction can uncover deeper domain understanding,…
arXiv:2507.05558v2 Announce Type: replace-cross Abstract: We present A1, an agentic execution driven system that transforms any LLM into an end-to-end…
arXiv:2507.05267v1 Announce Type: new Abstract: While the game Connect-Four has been solved mathematically and the best move can be effectively…
arXiv:2507.05221v2 Announce Type: replace-cross Abstract: Deep learning models have demonstrated exceptional performance across a wide range of computer vision tasks.…
arXiv:2507.06031v1 Announce Type: cross Abstract: Federated Learning (FL) has emerged as a compelling methodology for the management of distributed data,…
arXiv:2507.06008v1 Announce Type: cross Abstract: Information systems support the execution of business processes. The event logs of these executions generally…
arXiv:2507.04981v2 Announce Type: replace-cross Abstract: T cell receptor (TCR) repertoires encode critical immunological signatures for autoimmune diseases, yet their clinical…
arXiv:2507.02977v1 Announce Type: new Abstract: In this paper, LLMs are tasked with completing an impossible quiz, while they are in…
