Delving into LLM-assisted writing in biomedical publications through excess vocabulary
Used for the PubMed abstract analysis and the rise of words such as "delves," "showcasing," and "underscores."
This page gathers the main outside references used for the article's claims, charts, and quizzes. The Wikipedia examples are named inside each expanded sign, while the broader studies and essay sources are collected here.
Used for the PubMed abstract analysis and the rise of words such as "delves," "showcasing," and "underscores."
Used for lexical overrepresentation in LLMs and the discussion of why words like "delve" become overused.
Used for the multi-database tracking of LLM-associated terms across scholarly databases and PMC full text.
Used for syntactic differences between human-authored New York Times-style writing and LLM-generated news text.
Used for comparison between ChatGPT and human expert responses, plus detection work using the HC3 corpus.
Used for the uncanny-valley framing around human reactions to AI-generated text and images.
Used for the explanation of sycophancy in AI assistants and how human preference feedback can reward agreement over truthfulness.
Used for the broader idea of social sycophancy, including LLMs preserving or affirming a user's self-image.
Used for the raw PubMed "delve" counts shown in the chart.
Used for the estimate that AI-generated articles briefly surpassed human-written articles in Graphite's Common Crawl sample.
Used for the comparison between article volume, Google search results, and ChatGPT citations.
Used for the article's discussion of antithesis, tricolon, parallelism, and taste in AI-like prose.
Used for the discussion of chatbot vocabulary bleeding into human speech and writing.
Used for the extra section on AI-video narration, influencer speak, and default generated scripts.
Used as the New York Times source note for the field guide.
Used as a human-written quiz passage that still resembles common AI rhetorical patterns.
Used as a human-written quiz passage with AI-like journey and rule-of-three phrasing.
Used as a human-written quiz passage with language that can feel AI-adjacent out of context.
Used as the core source for the Wikipedia-specific signs, examples, and field-guide framing.
Conversations with AI used while developing and revising the field guide.