3 papers
cs.CL2026
Toward Better Assessment of LLMs' Performance in Clinical Error Detection
Yifan Zhang, Rahmatollah Beheshti
Automated detection of errors in clinical documentation is a promising application of large language models (LLMs), yet decisions to deploy such models rest on benchmarks that eval…
cs.LG2026
Beyond Field Accuracy: Two-Axis Diagnosis of Inverse-PINN Parameter Error
Yifan Zhang, Qian Tao
Inverse physics-informed neural networks (PINNs) can reconstruct a field accurately while returning an incorrect physical parameter. We introduce a two-axis post-training diagnosis…
physics.chem-ph2026
Multi-Agent Closed-Loop Reasoning for Organic Structure Elucidation from Multimodal Spectra
Bingsen Xue, Zhuojun Jiang, Jianhao Zhang +10
Following the molecular discovery and synthesis revolutions, scalable automated structure elucidation from routine spectroscopic data remains an outstanding challenge. Despite deca…