Instructionaccurate

Instructionaccurate is a neologism used in artificial intelligence and human-computer interaction to describe the degree to which a system's output adheres to explicit user instructions. The term is often written as instruction-accurate or instructionaccurate and has gained usage with instruction-tuned models and prompt-based interfaces. It is typically used as an adjective, as in an instructionaccurate response.

Definition and scope: Instruction accuracy refers to fidelity to the user's specified requirements, including content, format, sequence, style constraints, and safety limitations. It focuses on following instructions rather than on factual correctness alone. In practice, instruction accuracy can be affected by ambiguous prompts, missing context, or model limitations that require inference beyond the instruction.

Measurement and evaluation: Researchers assess instruction accuracy using prompts with explicit requirements and a rubric or gold standard. Methods include automatic checks for format compliance, unit tests for multi-step tasks, and human judgments for nuanced criteria. Challenges include subjectivity, multi-instruction prompts, and the balance between strict adherence and useful flexibility.

Relation to related concepts and applications: Instruction accuracy complements metrics such as factual accuracy and stylistic quality. It is relevant in instruction tuning, constrained-output systems, and safety-aware generation. The term remains informal and its meaning varies by community; when used, it is best defined within the context of a particular study or product.