Video is the most interpretable representation for human activity monitoring, but continuous camera deployment in homes is often constrained by privacy, coverage, lighting, viewpoint, and occlusion. This paper explores whether cameralike activity videos can be generated from wearable motion measurements without using a...
Tarik Reza Toha, Zhen-Yu Wang, Dheeraj Jagadeesh et al.· Proceedings of the 4th Inter...· 0 citations
Percival is introduced, a CT-native VLM trained on more than 400,000 CT-report pairs from the Penn Medicine BioBank using a dual-encoder symmetric contrastive framework, and evaluated against alternative foundation-model paradigms, indicating that CT-VLMs uncover latent structure aligned with clinical, physiological, a...
C. Beeche, Joonghyun Kim, H. Tavolinejad et al.· npj Digital Medicine· 1 citation
This tutorial delivers a systematic, data-centric roadmap to build LLM agents that are not merely capable but provably trustworthy, unifying advances in LLM agents, robust machine learning, and data-centric AI.
Tian-Long Chen, Jian Pei, Minxing Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
Large language model (LLM) based agents are evolving from conversational chatbots into autonomous decision-makers that plan, reason, wield tools, and collaborate across high-stakes domains such as healthcare, finance, and scientific discovery. Yet this power brings a fundamental challenge: trustworthiness. How can we g...
Tianlong Chen, Jian Pei, Minxing Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
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