3 citations · 5 across the 10 of their papers we have counts for
10 papers
AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
Zhengyang Shan, Yukyung Lee, Sophie Hao
Text generated by large language models (LLMs) has been shown to be stylometrically distinct from human-written text (Andre et al., 2023; Shah et al., 2023; Opara, 2024; Soto et al…
Does Anthropomorphic Language Impact Public Perceptions of AI?
Betty Li Hou, Sophie Hao, Sunoo Park +1
Public discourse about artificial intelligence (AI) often uses anthropomorphic language: language that attributes human capabilities and characteristics to AI systems. This practic…
A Theory of Training Profit-Optimal LLMs
Sophie Hao, William Merrill
Scaling LLMs requires tremendous computational resources, and recent advances in AI have gone hand in hand with massive amounts of capital expenditure. While it is established that…
Context-Free Recognition with Transformers
Selim Jerad, Anej Svete, Sophie Hao +2
Transformers excel empirically on tasks that process well-formed inputs according to some grammar, such as natural language and code. However, it remains unclear how they can proce…
ModelCitizens: Representing Community Voices in Online Safety
Ashima Suvarna, Christina Chance, Karolina Naranjo +4
Automatic toxic language detection is critical for creating safe, inclusive online spaces. However, it is a highly subjective task, with perceptions of toxic language shaped by com…
Generative Linguistics, Large Language Models, and the Social Nature of Scientific Success
Sophie Hao
Chesi's (forthcoming) target paper depicts a generative linguistics in crisis, foreboded by Piantadosi's (2023) declaration that "modern language models refute Chomsky's approach t…
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
Lindia Tjuatja, Graham Neubig, Tal Linzen +1
When comparing the linguistic capabilities of language models (LMs) with humans using LM probabilities, factors such as the length of the sequence and the unigram frequency of lexi…
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors
Qinchan Li, Sophie Hao
In languages without orthographic word boundaries, NLP models perform word segmentation, either as an explicit preprocessing step or as an implicit step in an end-to-end computatio…
Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels
Kexin Luo, Yue Mao, Bei Zhang +1
Inspired by the concept of the male gaze (Mulvey, 1975) in literature and media studies, this paper proposes a framework for analyzing gender bias in terms of female objectificatio…
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number
Sophie Hao, Tal Linzen
Deep architectures such as Transformers are sometimes criticized for having uninterpretable "black-box" representations. We use causal intervention analysis to show that, in fact,…