Back to search

Article

Cognitive Trace-guided ToM Reasoning: Enhancing High-Order Theory of Mind in LLMs via Structured Prompt Engineering

2026-04-09

Abstract excerpt

Large Language Models (LLMs) have shown nascent Theory of Mind (ToM) capabilities, yet they still struggle with complex high-order belief reasoning in multi-agent scenarios. Existing enhancement methods are often limited to specific psychological states, require costly fine-tuning, or lack structured mechanisms for systematic hierarchical belief tracking. This paper introduces Cognitive Trace-guided ToM Reasoning...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c6ad956e-cc34-5e31-8ac6-373ac5ecffd7
DOI
10.22541/au.177575367.77319637/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Cognitive Trace-guided ToM Reasoning: Enhancing High-Order Theory of Mind in LLMs via Structured Prompt EngineeringDOI 10.22541/au.177575367.77319637/v1
Select a neighboring publication to make it the new centre.