A training-free decoding method that scores each masked position by a multiplicative composite of softmax confidence and neighbor proximity, promoting contextually ready tokens above isolated candidates while suppressing low-confidence positional noise, operating block-free to keep high-readiness anchors globally acces...
Yi-Kai Zhao, Qiyan Zhao, Jia-Quan Zhang et al.· 0 citations
An entropy-based poisoning filter that mitigates task-agnostic backdoor attacks due to vulnerabilities in data and training mechanisms and injects multiple syntactic backdoors into the pre-training space through corpus poisoning, while preserving the PLM's pre-training capabilities.
Pengzhou Cheng, Wei Du, Zongru Wu et al.· North American Chapter of th...· 9 citations· ⚡3
Results validate that a lightweight inference-time intervention can substantially boost GUI Agent's competence to identify inappropriate execution scenarios and refrain from unnecessary actions.
Zhao-Yuan Huang, Tian-Jie Ju, Pengzhou Cheng et al.· 1 citation
This paper proposes UrbanGround, the first sandbox to make this question testable in a physically constrained replica of Hong Kong built from territory-wide 3D geospatial data, and hopes it will support broader study of how far current MLLM agents can explore reliably in complex, open-ended urban environments.
Tianjie Ju, Zheng Wu, Yue-Qing Sun et al.· 2 citations
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