10 papers
Argument Collapse: LLMs Flatten Long-Form Public Debate
Yekyung Kim, Yapei Chang, Chau Minh Pham +1
As LLMs are increasingly used to draft public-facing arguments, they may flatten public debate by repeatedly introducing the same polished, plausible arguments. We study argument c…
Can Large Language Models Really Recognize Your Name?
Dzung Pham, Peter Kairouz, Niloofar Mireshghallah +3
Large language models (LLMs) are increasingly being used in privacy pipelines to detect and remedy sensitive data leakage. These solutions often rely on the premise that LLMs can r…
Frankentext: Stitching random text fragments into long-form narratives
Chau Minh Pham, Jenna Russell, Dzung Pham +1
We introduce Frankentexts, a long-form narrative generation paradigm that treats an LLM as a composer of existing texts rather than as an author. Given a writing prompt and thousan…
StoryScope: Investigating idiosyncrasies in AI fiction
Jenna Russell, Rishanth Rajendhran, Chau Minh Pham +2
As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated. While most existing work in t…
Whose story is it? Personalizing story generation by inferring author styles
Nischal Ashok Kumar, Chau Minh Pham, Mohit Iyyer +1
Personalization is critical for improving user experience in interactive writing and educational applications, yet remains understudied in story generation. We study the task of pe…
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
Alisha Srivastava, Emir Korukluoglu, Minh Nhat Le +4
Large language models (LLMs) are known to memorize and recall English text from their pretraining data. However, the extent to which this ability generalizes to non-English languag…