From the 2 of 7 linked papers with an AI index.
2 citations · 2 across the 4 of their papers we have counts for
7 papers
Inducing language models to assert their own consciousness restores human beliefs and values
Junsol Kim, Winnie Street, Roberta Rocca +4
The paper investigates how safety fine‑tuning of large language models reduces their tendency to attribute consciousness to themselves, animals, and objects, and shows that reversi…
Beyond Sally-Anne: Evaluating Theory of Mind in LLMs using Epistemic Schelling Points
Roberta Rocca, Sami Boukortt, Geoff Keeling +1
The paper proposes a new two‑player dialogue game, the Epistemic Asymmetry Schelling Task (EAST), to assess Theory of Mind and epistemic tracking abilities in large language models…
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
Ben Slater, Matteo G. Mecattaf, Lucy G. Cheke +2
Theory of Mind (ToM) benchmarks for Large Language Models (LLMs) typically rely on passive question-answering formats, but the deployment of LLMs in increasingly agentic and autono…
Chuck, Wilson and the emergence of artificial minds in human-AI conversations
Geoff Keeling, Winnie Street
Large Language Models (LLMs) can simulate person-like things which at least appear to have stable behavioural and psychological dispositions. Call these things characters. Are char…
Theory of Mind and Self-Attributions of Mentality are Dissociable in LLMs
Junsol Kim, Winnie Street, Roberta Rocca +4
Safety fine-tuning in Large Language Models (LLMs) seeks to suppress potentially harmful forms of mind-attribution such as models asserting their own consciousness or claiming to e…
Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality
Alex Grzankowski, Geoff Keeling, Henry Shevlin +1
Many people feel compelled to interpret, describe, and respond to Large Language Models (LLMs) as if they possess inner mental lives similar to our own. Responses to this phenomeno…