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UniClawBench introduces a capability-driven benchmark for evaluating proactive agents in dynamic, real-world environments using live Docker containers and a closed-loop evaluation strategy with multiple agent roles.
This paper examines the deployment of an LLM-based machine translation system for text-to-911 emergency services, highlighting common misconceptions and providing recommendations for stakeholders to ensure safe and effective use of AI in critical contexts.
RoboMemArena introduces a large-scale benchmark for evaluating robotic memory across 26 complex tasks with real-world validation, alongside PrediMem, a dual-system vision-language-action model that improves memory management through predictive coding.