Michele Sezgin

Department of Statistics & Data Science, Carnegie Mellon University

CMU Machine Learning

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Publication activitypapers/week, last 8 weeks

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Eval Frameworks & Benchmarks (1)Interpretability & Mechanistic Interp (1)Natural Language Processing (1)

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Swati Rallapalli (1)Swati Rallapalli (1)Shannon Gallagher (1)Shannon K. Gallagher (1)

Papers (1)

Apr 15, 2026

CMU ML4d ago

Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies

LLMs can mimic human writing, but not as well as you think: genre matters more than the source (human vs. LLM), and model choice trumps decoding strategy when it comes to style.

Swati Rallapalli, Swati Rallapalli, Shannon Gallagher +11

Eval Frameworks & Benchmarks Interpretability & Mechanistic Interp Natural Language Processing

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Michele Sezgin

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (1)