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cs.CL2025
A Review of Developmental Interpretability in Large Language Models
Ihor Kendiukhov
This review synthesizes the nascent but critical field of developmental interpretability for Large Language Models. We chart the field's evolution from static, post-hoc analysis of…
cs.CL2025
Are LLM Belief Updates Consistent with Bayes' Theorem?
Sohaib Imran, Ihor Kendiukhov, Matthew Broerman +4
Do larger and more capable language models learn to update their "beliefs" about propositions more consistently with Bayes' theorem when presented with evidence in-context? To test…