Collie &Conifer

What it measures

Grammar-based constrained text generation (Collie) and hierarchical constraint compliance (Conifer).

Reading the measurement

Separate satisfying instructions from factual accuracy, human preference and safe behavior. Inspect strict all-constraint success as well as average criterion credit. Judge choice and adversarial prompt selection can materially change the result.

Published evaluation

Strict satisfaction across the evaluated constraints; zero-shot and one-shot settings remain separate. Conifer is a training-data method, not the name of this evaluation score.

Where this fits in an evaluation suite

Format compliance, preference, truthfulness, and safety require separate measurements. Keep desirable writing style from masking factual errors.

Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.

A reproducible comparison

Strict satisfaction across the evaluated constraints; zero-shot and one-shot settings remain separate. Conifer is a training-data method, not the name of this evaluation score.

Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.