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Guangzhi Xiong

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#artificial intelligence Preprint Sep 2026

MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories

Long-term egocentric video enables personalized AI assistants to reason about daily life. However, as video histories grow to hundreds of hours spanning months or years, reprocessing raw clips for every query becomes computationally prohibitive. Memory systems offer a scalable alternative by compacting videos into text...

Guang-Zhi Xiong, Xin-Yuan Zhang, Xiao Yang et al. · 0 citations
Open access Sep 2026

Assessing safety and trustworthiness of large language models in medicine

The remarkable capabilities of large language models make them increasingly compelling for use in real-world healthcare applications. However, the risks associated with using these artificial intelligence systems in medicine are not systematically understood. The aim of this study is to characterize these risks b...

Yi-Fan Yang, Qiao Jin, Robert Leaman et al. · 0 citations
Book Open access Aug 2026

Concept-Residual Representation Expansion for Robustness to Spurious Correlations

Concept-Residual eXpansion (CRX), a concept-augmented framework that improves robustness by expanding the set of candidate predictive features by improving robustness to spurious correlations, is proposed.

Eric Xie, Guang-Zhi Xiong, Wenqian Ye et al. · 0 citations
#artificial intelligence Preprint Jan 2026

Triggering Chain-of-Thought via Latent Feature Interventions in Large Language Models

It is suggested that CoT prompting activates specific latent features to trigger reasoning, and that targeted intervention on these features offers an alternative pathway to elicit efficient reasoning behavior without explicit CoT prompting.

Zhenghao He, Guangzhi Xiong, Bohan Liu et al. · 6 citations · ⚡1
Book Open access Aug 2026

Concept-Residual Representation Expansion for Robustness to Spurious Correlations

Concept-Residual eXpansion (CRX), a concept-augmented framework that improves robustness by expanding the set of candidate predictive features by improving robustness to spurious correlations, is proposed.

Eric Xie, Guangzhi Xiong, Wenqian Ye et al. · 0 citations
Review Open access Jul 2026

Tutorial: guidance on the use of large language models for medical research

This entry-level tutorial aims to equip healthcare professionals with the tools necessary to effectively integrate LLMs into clinical practice, ensuring that these powerful technologies are applied in a safe, reliable, and impactful manner.

Qiao Jin, Nicholas Wan, Robert Leaman et al. · 1 citation

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