3 papers
cs.RO2026
Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
Utkarsh Grover, Ravi Ranjan, Mingyang Mao +9
Deploying foundation models in embodied edge systems is fundamentally a systems problem, not just a problem of model compression. Real-time control must operate within strict size,…
cs.SI2025
Investigating Prosocial Behavior Theory in LLM Agents under Policy-Induced Inequities
Yujia Zhou, Hexi Wang, Qingyao Ai +2
As large language models (LLMs) increasingly operate as autonomous agents in social contexts, evaluating their capacity for prosocial behavior is both theoretically and practically…
cs.CL2025
Outraged AI: Large language models prioritise emotion over cost in fairness enforcement
Hao Liu, Yiqing Dai, Haotian Tan +3
Emotions guide human decisions, but whether large language models (LLMs) use emotion similarly remains unknown. We tested this using altruistic third-party punishment, where an obs…