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Zhixin Lin

2 accepted papers

2026

Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents

AAAI 2026technical

Smartphones bring significant convenience to users but also enable devices to extensively record various types of personal information. Existing smartphone agents powered by Multimodal Large Language Models (MLLMs) have achieved remarkable performance in automating different tasks. However, as the c

Cited by 0SourcePDFScholar
2025

RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video

NeurIPS 2025poster

Multimodal Large Language Models (MLLMs) increasingly excel at perception,understanding, and reasoning. However, current benchmarks inadequately evaluate their ability to perform these tasks continuously in dynamic, real-world environments. To bridge this gap, we introduce RT V-Bench, a fine-grained…

Cited by 0SourcecodeScholar