arXiv:2603.26710v1 Announce Type: cross
Abstract: In this work, we present a modular and interpretable framework that uses Large Language Models (LLMs) to automate candidate assessment in recruitment. The system integrates diverse sources, including j…
arXiv:2603.27306v1 Announce Type: cross
Abstract: Large language models (LLMs) have been proposed as supervisory agents for spacecraft operations, but existing approaches rely on static prompting and do not improve across repeated executions. We intro…
arXiv:2509.15219v2 Announce Type: replace
Abstract: Trajectory prediction is a fundamental problem in computer vision, vision-language-action models, world models, and autonomous systems, with broad impact on autonomous driving, robotics, and surveill…
arXiv:2603.25821v1 Announce Type: new
Abstract: We present Doctorina MedBench, a comprehensive evaluation framework for agent-based medical AI based on the simulation of realistic physician-patient interactions. Unlike traditional medical benchmarks t…
arXiv:2603.25768v1 Announce Type: cross
Abstract: Functional verification remains a critical bottleneck in modern IC development cycles, accounting for approximately 70% of total development time in many projects. However, traditional methods, includi…
arXiv:2603.26542v1 Announce Type: cross
Abstract: Buffer zones are essential in production systems to decouple sequential processes. In dense floor storage environments, such as space-constrained brownfield facilities, manual operation is increasingly…
arXiv:2603.26240v1 Announce Type: new
Abstract: Robot swarms offer inherent robustness and the capacity to execute complex, collaborative tasks surpassing the capabilities of single-agent systems. Co-designing these systems is critical, as marginal im…
arXiv:2603.21723v2 Announce Type: replace
Abstract: We present Triple Zero Path Planning (TZPP), a collaborative framework for heterogeneous multi-robot systems that requires zero training, zero prior knowledge, and zero simulation. TZPP employs a coo…
arXiv:2510.13227v2 Announce Type: replace-cross
Abstract: Urban mobility systems face persistent challenges of congestion, underutilized vehicles, and rising emissions driven by private point-to-point commuting. Although ride-sharing platforms exist, …
arXiv:2603.25395v1 Announce Type: new
Abstract: Multi-robot systems can be extremely efficient for accomplishing team-wise tasks by acting concurrently and collaboratively. However, most existing methods either assume static task features or simply re…