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Jing-Xiang Chen

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#artificial intelligence Preprint Oct 2026

SAGE: Efficient Protected Vision-Language Inference on Smart Glasses

Smart glasses are a promising platform for vision-language assistants, but private split inference remains expensive: protecting visual representations before transmission does not remove the cost of on-device vision encoding, wide protected tokens, or hardware-unaware execution. We present SAGE (Smart-glasses-Aware Gu...

Zhi-Min Li, Pan Wang, Jing-Xiang Chen et al. · 0 citations
#natural language process... Preprint Jun 2025

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation

This work introduces ConfQA, a fine-tuning strategy that reduces hallucination rates from 20-40% to below 5% across multiple factuality benchmarks, and proposes ConfRAG, a triggering strategy that invokes RAG only when the model responses with unsure.

Yin Huang, Y. Xu, Kai Sun et al. · 2 citations
#artificial intelligence Preprint Aug 2026

Defending Wearable VLMs Against Private Attribute Inference

Token-Guided Attribute Privacy (TGAP), a pre-LLM token disentangler that learns a residual transformation of visual tokens before they leave the trusted boundary, is proposed, suggesting that securing the compact token interface is a practical path toward privacy-preserving wearable multimodal AI.

Zhi-Min Li, Pan Wang, Jing-Xiang Chen et al. · 0 citations

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