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% !TEX root = ../main.tex People increasingly use large language models (LLMs) for mental health support, yet their s...
Extracting informative representations from longitudinal data that can predict future outcomes remains a critical cha...
Rising societal and lifestyle complexity has been linked to a growing prevalence of mental distress worldwide. Educat...
Offline reinforcement learning aims to learn a policy solely from fixed datasets, which often contain multimodal acti...
This study proposes a privacy-enhanced federated learning framework to address secure collaborative training in distr...
Deep networks trained on structural MRI for Alzheimer's disease (AD) staging often reach reasonable accuracy while at...
Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characterization of ...
Artificial intelligence presents firms with an unusual timing problem. The technology frontier is improving rapidly, ...
Recurrent GNNs iterate message passing to convergence, and their logical characterizations to date rely on multi-set ...
Language-model agents increasingly operate over complete software repositories, yet cybersecurity evaluations primari...
Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one....
Language models can produce plausible short proofs, but may still be unreliable on long-horizon research problems, wh...