Role-Conditioned Instruction Sets for Evaluating Epistemic Behavior in Large Language Models
Slade T · 2026 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Large language models (LLMs) are increasingly deployed in academic and professional contexts where epistemic restraint, boundary recognition, and instruction adherence are as important as raw capability. However, existing evaluations…
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Metadata source: Europe PMC · DOI 10.22541/au.177023469.90459572/v1