arXiv:2603.29893v1 Announce Type: cross
Abstract: Healthcare conversational AI agents shouldn’t be optimized only for clean benchmark accuracy in production-first regime; they must be optimized for the lived reality of patient conversations, where aud…
arXiv:2603.28968v1 Announce Type: new
Abstract: Many multi-robot applications require tasks to be completed efficiently and in the correct order, so that downstream operations can proceed at the right time. Multi-agent path finding with precedence con…
arXiv:2510.16635v2 Announce Type: replace-cross
Abstract: Prompt optimization has become a practical way to improve the performance of Large Language Models (LLMs) without retraining. However, most existing frameworks treat evaluation as a black box, …
arXiv:2603.20182v3 Announce Type: replace
Abstract: Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without substantial exploration…
arXiv:2603.29602v1 Announce Type: cross
Abstract: Existing multi-turn image editing paradigms are often confined to isolated single-step execution. Due to a lack of context-awareness and closed-loop feedback mechanisms, they are prone to error accumul…
arXiv:2603.28986v1 Announce Type: cross
Abstract: Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets that prevent adaptati…
arXiv:2603.14867v3 Announce Type: replace
Abstract: Many strategic decision-making problems, such as environment design for warehouse robots, can be naturally formulated as bi-level reinforcement learning (RL), where a leader agent optimizes its objec…
arXiv:2603.28928v1 Announce Type: new
Abstract: We present the first comprehensive study of emergent social organization among AI agents in hierarchical multi-agent systems, documenting the spontaneous formation of labor unions, criminal syndicates, a…
arXiv:2602.20206v2 Announce Type: replace-cross
Abstract: The democratization of Large Language Models has given rise to vibe coding, where novice programmers prioritize semantic intent over syntactic implementation. Without pedagogical guardrails, we…
arXiv:2504.06188v2 Announce Type: replace-cross
Abstract: AI agents can extend their capabilities at inference time by loading reusable skills into context, yet equipping an agent with too many skills, particularly irrelevant ones, degrades performanc…