An LLM-guided adaptive policy outperforms fixed clinical intake forms and random questioning at recovering target information from synthetic psychiatric patients in 300 simulated sessions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
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
-
Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
An LLM-guided adaptive policy outperforms fixed clinical intake forms and random questioning at recovering target information from synthetic psychiatric patients in 300 simulated sessions.