Behavioral evaluation of the depth of language understanding

Develop and validate behavioral measures that can reliably evaluate the depth of language understanding in humans, enabling empirical tests of whether deep understanding requires exportation from the core language system.

Background

The framework distinguishes shallow understanding (based on language statistics) from deep understanding (involving mental models and extra-linguistic systems). To test and potentially falsify the exportation hypothesis, the field needs behavioral metrics that quantify depth of understanding.

The authors note that no consensus exists on such measures, highlighting a methodological gap that impedes rigorous evaluation of deep understanding in cognitive neuroscience and education contexts.

References

Finally, there is currently no consensus on how to behaviorally evaluate the depth of language understanding, and such measures would be important for attempts to falsify the idea that deep understanding requires exportation.

— What does it mean to understand language?  (2511.19757 - Casto et al., 24 Nov 2025) in Section 4. Concluding remarks

The field still has yet to answer more fundamental questions: what psychophysical task best captures understanding? What metric should determine whether a person truly understands a model?

— From Interpretability Methods to Interpretable Models  (2609.05399 - Colin et al., 4 Sep 2026) in Section 4, paragraph “But it is too early to automate the human measure”