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Jonathan Michala

2 accepted papers

2026

Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test

ICLR 2026poster

As API access becomes a primary interface to large language models (LLMs), users often interact with black-box systems that offer little transparency into the deployed model. To reduce costs or maliciously alter model behaviors, API providers may discreetly serve quantized or fine-tuned variants, wh…

Cited by 0SourcecodeScholar
2026

The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models

ICML 2026spotlight

Large language models can represent a variety of personas but typically default to a helpful Assistant identity cultivated during post-training. Across several different models, we find an “Assistant Axis" in their activation space, which captures the extent to which a model is operating in its defa…

Cited by 0SourceScholar