565 citations · 647 across the 8 of their papers we have counts for
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cs.CL2024★ 1 cited
Anthropocentric bias in language model evaluation
Raphaël Millière, Charles Rathkopf
Evaluating the cognitive capacities of large language models (LLMs) requires overcoming not only anthropomorphic but also anthropocentric biases. This article identifies two types…
cs.CL2024★ 7 cited
LLMs as Models for Analogical Reasoning
Sam Musker, Alex Duchnowski, Raphaël Millière +1
Analogical reasoning -- the capacity to identify and map structural relationships between different domains -- is fundamental to human cognition and learning. Recent studies have s…
cs.CL2024★ 25 cited
A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
Raphaël Millière, Cameron Buckner
Large language models like GPT-4 have achieved remarkable proficiency in a broad spectrum of language-based tasks, some of which are traditionally associated with hallmarks of huma…