CRC-Router is proposed, a risk-constrained, uncertainty-aware routing module that is applicable to both conventional medical prediction models and agentic medical AI systems, and achieves the strongest empirical risk--coverage trade-off among the evaluated baselines.
Xue-Yang Li, Ming Jiang, Ge-Lei Xu et al.· 0 citations
This work systematically evaluates edge-oriented ASR-LLM pipelines for individuals with language impairments using comparison studies and ablation experiments across aphasia, child language impairment, and dementia datasets to identify transcript errors, repetition, noise, and input length as factors affecting system p...
A retrospective pool-based benchmark of active learning versus uniform Random sampling for ST, where expression vectors are high-dimensional and continuous and candidates are spatially correlated, finds that active strategies do not consistently improve on Random at small budgets, and rankings depend on the evaluation...
Zhe-Yu Zhu, Jun-Chao Zhu, Feng-Bei Liu et al.· arXiv.org· 0 citations
An observational study of 20,574 coding-agent sessions from 1,639 repositories across IDE and CLI workflows operationalizes misalignment as a breakdown made visible through developer pushback, and annotates each episode along four axes: form, cause, cost, and resolution.