3 papers
cs.CY2026
Frontier Lag: A Bibliometric Audit of Capability Misrepresentation in Academic AI Evaluation
David Gringras, Misha Salahshoor
LLM evaluations in applied domains tend to reflect models that were already outclassed at time of publication. We observe a publication elicitation gap: the distance between the AI…
cs.AI2026
IatroBench: A Pre-Registered Benchmark of Clinical Omission in Language Models
David Gringras
We introduce IatroBench, a benchmark with two axes of harm (commission and omission), comprising 60 pre-registered clinical scenarios, tested on 6 models. Matched scenarios are fra…
cs.AI2026
Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety
David Gringras
Safety benchmarks usually test "bare" models that receive prompts and output responses, but real-world deployments "wrap" those models in complex scaffolds. How much do these scaff…