9 citations · 10 across the 4 of their papers we have counts for
5 papers
RPAM: A Principled Metric for Evaluating Associations in Language Models with High Predictive Validity in Downstream Outputs
Damian Hodel, Jevin West, Aylin Caliskan
Language models (LMs) exhibit problematic biases, such as stereotypes. Effectively analyzing and mitigating such biases requires accurate and generalizable evaluation methods of th…
Epistemic diversity across language models mitigates knowledge collapse
Damian Hodel, Jevin D. West
Artificial intelligence (AI) increasingly generates the very content used to train future AI systems. This feedback loop can degrade model quality, reduce informational diversity,…
Political Fact-Checking Efforts are Constrained by Deficiencies in Coverage, Speed, and Reach
Morgan Wack, Kayla Duskin, Damian Hodel
Fact-checking has been promoted as a key method for combating political misinformation. Comparing the spread of election-related misinformation narratives along with their relevant…
Disagreement as a way to study misinformation and its effects
Damian Hodel, Jevin West
Misinformation -- false or misleading information -- is considered a significant societal concern due to its associated "misinformation effects," such as political polarization, er…
Response: Emergent analogical reasoning in large language models
Damian Hodel, Jevin West
In their recent Nature Human Behaviour paper, "Emergent analogical reasoning in large language models," (Webb, Holyoak, and Lu, 2023) the authors argue that "large language models…