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#human-computer interacti... Preprint Oct 2026

Toward Low-Burden Image-Based Dietary Assessment Through Human-AI Collaborative Correction

Human-AI Collaborative Correction is introduced, which reframes correction as communicate intent regenerate $\rightarrow$ regenerate $\rightarrow$ verify: users express what should change through text, voice, or guided clarification, the AI regenerates the linked dietary record, and users verify the result.

Darren Liu, Andrew Lu, ZhiyuanRyanWang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care

A hybrid architecture that jointly learns unimodal and cross-modal representations via uncertainty-weighted multi-task learning while utilizing an LLM-based pipeline to extract high-fidelity findings from cardiologist reports is proposed.

L. Y. Panchumarthi, Andrew Lu, Saurabh Kataria et al. · 0 citations

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