11 citations · 29 across the 42 of their papers we have counts for
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cs.AI2026
Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
Yuting Huang, Leilei Ding, Zhipeng Tang +7
While Vision-Language-Action (VLA) models hold promise in embodied intelligence, their large parameter counts lead to substantial inference latency that hinders real-time manipulat…
cs.AI2025★ 1 cited
\(X\)-evolve: Solution space evolution powered by large language models
Yi Zhai, Zhiqiang Wei, Ruohan Li +7
While combining large language models (LLMs) with evolutionary algorithms (EAs) shows promise for solving complex optimization problems, current approaches typically evolve individ…