A multi-agent LLM system discovers criteria such as Encouraging, Urgent, and Clear for surgical feedback and uses them to score 4.2k instances, outperforming prior content-based approaches in predicting trainee behavior changes and trainer approval.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback
A multi-agent LLM system discovers criteria such as Encouraging, Urgent, and Clear for surgical feedback and uses them to score 4.2k instances, outperforming prior content-based approaches in predicting trainee behavior changes and trainer approval.