by ODEFTO AI Labs
arXiv:2607.27690v2 Announce Type: replace-cross Abstract: We introduce LabEvolver, a training-free framework that equips safe and grounded wet-lab agents with episodic…
arXiv:2607.29363v1 Announce Type: cross Abstract: Balancing sequence length, representational capacity, and long-horizon stability is a central problem in autoregressive (AR)…
arXiv:2607.29394v1 Announce Type: cross Abstract: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for breast cancer management, but reliance on…
arXiv:2607.28080v2 Announce Type: replace-cross Abstract: We extend a recently introduced Entropy-Optimal Manifold Clustering (EOMC) to allow for a joint simultaneous…
arXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models (LLMs) to persistent, action-capable systems has exposed…
arXiv:2607.25718v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents increasingly rely on invoking external tools to complete real-world tasks.…
arXiv:2607.26985v1 Announce Type: cross Abstract: Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow wall-clock…
arXiv:2607.27023v1 Announce Type: cross Abstract: Evaluating large generative models across benchmarks is time-consuming and computationally expensive. This drives the need…