AI Models Can Predict and Collaboratively Modulate Human Memory Search
Large language models (LLMs) exhibit unprecedented natural language generation and many text-based problem-solving capabilities. Indeed, in many language-based tasks, for example routine coding, these artificial intelligence models have reduced, or even eliminated, the need for human input. But rather than replacing human cognitive effort, LLMs may instead serve as cognitive tools to extend human abilities, particularly when they are engaged in a task requiring open-ended conceptual exploration and creative ideation. However, we are yet to understand how these models may enhance such generative human cognitive abilities in human--AI interactions. In this study, we explore and evaluate the...
| Authors | Eric Lacosse, Mariana Duarte, Graham Todd et al. |
|---|---|
| Primary category | cs.CL |
| Published | 3 July 2026 |
| Last updated at source | 28 August 2026 |
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