A generative-adversarial-exam-based quality-of-memory metric drives memory-centric power allocation that prioritizes high-memory robots and improves multi-agent embodied question answering.
Integrated sensing and communication for low altitude economy: Opportunities and challenges,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Memory Centric Power Allocation for Multi-Agent Embodied Question Answering
A generative-adversarial-exam-based quality-of-memory metric drives memory-centric power allocation that prioritizes high-memory robots and improves multi-agent embodied question answering.