3 papers
cs.AI2026
Signatures of semantic search in the activations of large language models
Luke Leckie, Peter M. Todd, Jacob G. Foster
When recalling lists of concepts (e.g., animals) during the semantic fluency task (SFT), both humans and large language models (LLMs) organise their output into clusters of related…
cs.CL2026
AI Models Can Predict and Collaboratively Modulate Human Memory Search
Eric Lacosse, Mariana Duarte, Graham Todd +2
Large language models (LLMs) exhibit unprecedented natural language generation and many text-based problem-solving capabilities. Indeed, in many language-based tasks, for example r…
cs.AI2026
Emerging Human-like Strategies for Semantic Memory Foraging in Large Language Models
Eric Lacosse, Mariana Duarte, Peter M. Todd +1
Both humans and Large Language Models (LLMs) store a vast repository of semantic memories. In humans, efficient and strategic access to this memory store is a critical foundation f…