26 citations · 30 across the 5 of their papers we have counts for
5 papers
Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics
Peter Romero, Stephen Fitz, Teruo Nakatsuma
Previous research on emergence in large language models shows these display apparent human-like abilities and psychological latent traits. However, results are partly contradicting…
Hidden Holes: topological aspects of language models
Stephen Fitz, Peter Romero, Jiyan Jonas Schneider
We explore the topology of representation manifolds arising in autoregressive neural language models trained on raw text data. In order to study their properties, we introduce tool…
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings
Stephen Fitz
As Large Language Models are deployed within Artificial Intelligence systems, that are increasingly integrated with human society, it becomes more important than ever to study thei…
Personality Traits in Large Language Models
Greg Serapio-García, Mustafa Safdari, Clément Crepy +6
The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs in…
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
Louis Castricato, Stephen Fitz, Won Young Shin
As the computational footprint of modern NLP systems grows, it becomes increasingly important to arrive at more efficient models. We show that by employing graph convolutional docu…