2 citations · 2 across the 4 of their papers we have counts for
5 papers
Toward a Graded Measure of Belief Stability in Large Language Models
Samantha Dies, Branden Fitelson, Tina Eliassi-Rad
Large language models (LLMs) increasingly mediate how people access and reason with information, yet factual reliability is usually evaluated one judgment at a time. We introduce g…
Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models
Moritz Laber, Zohair Shafi, Germans Savcisens +6
Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficien…
Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models: A Controlled Study
Germans Savcisens, Samantha Dies, Courtney Maynard +1
Large language models (LLMs) are increasingly deployed in multi-agent environments. However, the processes by which beliefs form and propagate among interacting LLMs remain poorly…
Epistemic Familiarity is Associated With Belief Stability in Large Language Models
Samantha Dies, Courtney Maynard, Germans Savcisens +1
Large language models (LLMs) are widely used as information sources, yet small changes in semantic assumptions can destabilize their beliefs. We introduce P-StaT (Perturbation Stab…
The Trilemma of Truth in Large Language Models
Germans Savcisens, Tina Eliassi-Rad
The public often attributes human-like qualities to large language models (LLMs), assuming that they "know" certain things. In reality, LLMs encode information retained during trai…