Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations. - Louis Castricato; Stephen Fitz; Won Young Shin (CoRR, 2021)

The Shape of Words - topological structure in natural language data. - Stephen Fitz (TAG-ML, 2022)

Personality Traits in Large Language Models. - Mustafa Safdari; Greg Serapio-García; Clément Crepy; Stephen Fitz; Peter Romero; Luning Sun; Marwa Abdulhai; Aleksandra Faust; Maja J. Mataric (CoRR, 2023)

Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings. - Stephen Fitz (CoRR, 2023)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? - Richard Ren; Steven Basart; Adam Khoja; Alice Gatti; Long Phan; Xuwang Yin; Mantas Mazeika; Alexander Pan; Gabriel Mukobi; Ryan H. Kim; Stephen Fitz; Dan Hendrycks (NeurIPS, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Long Phan; Gabriel Mukobi; Nathan Helm-Burger; et al. (CoRR, 2024)

Hidden Holes: topological aspects of language models. - Stephen Fitz; Peter Romero; Jiyan Jonas Schneider (CoRR, 2024)

Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics. - Peter Romero; Stephen Fitz; Teruo Nakatsuma (CoRR, 2024)