arXiv:2508.15555v3 Announce Type: replace-cross
Abstract: Metric aggregation divergence is a hidden confound in agent-based model policy search: when optimization, tournament evaluation, and statistical validation independently implement outcome metri…
arXiv:2604.02142v1 Announce Type: new
Abstract: We consider energy-aware planning for an unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) team operating in a stochastic environment. The UAV must visit a set of air points in minimum time…
arXiv:2604.02025v1 Announce Type: cross
Abstract: In this work, we extend our systematic capacity region perspective to multi-junction traffic networks, focussing on the special case of an urban corridor network. In particular, we train and evaluate c…
arXiv:2512.02966v2 Announce Type: replace-cross
Abstract: We introduce the first principled framework, Lumos, for specifying and formally certifying Language Model System (LMS) behaviors. Lumos is an imperative probabilistic programming DSL over graph…
arXiv:2604.01151v1 Announce Type: new
Abstract: As LLM agents are increasingly deployed in multi-agent systems, they introduce risks of covert coordination that may evade standard forms of human oversight. While linear probes on model activations have…
arXiv:2604.00085v1 Announce Type: cross
Abstract: Large language models applied to clinical prediction exhibit case-level heterogeneity: simple cases yield consistent outputs, while complex cases produce divergent predictions under minor prompt change…
arXiv:2604.01020v1 Announce Type: cross
Abstract: While large language model-based multi-agent systems have shown strong potential for complex reasoning, how to effectively organize multiple agents remains an open question. In this paper, we introduce…
arXiv:2604.00237v1 Announce Type: cross
Abstract: Present practice of deciding on regulation faces numerous problems that make adopted regulations static, unexplained, unduly influenced by powerful interest groups, and stained with a perception of ill…
arXiv:2509.25302v2 Announce Type: replace-cross
Abstract: The prevalent deployment of Large Language Model agents such as OpenClaw unlocks potential in real-world applications, while amplifying safety concerns. Among these concerns, the self-replicati…
arXiv:2603.23853v2 Announce Type: replace
Abstract: Combining multiple Vision-Language Models (VLMs) can enhance multimodal reasoning and robustness, but aggregating heterogeneous models’ outputs amplifies uncertainty and increases the risk of halluci…