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20242026
most citedFedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data

1 citations · 1 across the 8 of their papers we have counts for

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cs.RO2026

LIBERO-VIFO: Benchmarking the Capability and Safety of Visual Cue Following in Vision-Language-Action Models

Zhengyan Qian, Rui Yan, Alex Jinpeng Wang +1

Visual cues are increasingly adopted to guide robot learning, but whether Vision-Language-Action (VLA) models can reliably follow authorized cues while disregarding unauthorized on…