# From Speech to Profile: A Protocol-Driven LLM Agent for Psychological Profile Generation Source: [From Speech to Profile: A Protocol-Driven LLM Agent for Psychological Profile Generation]() Collection index: [llms.txt]() Data updated: 2026-04-15T05:00:04.591Z Authors: Xingjian Yang, Yudong Yang, Zhixing Guo, Yongjie Zhou, Nan Yan, Lan Wang Published: 2026-04-11T11:18:18.000Z ## Abstract The psychological profile that structurally documents the case of a depression patient is essential for psychotherapy. Large language models can be applied to summarize the profiles from counseling speech, however, it may suffer from long-context forgetting and produce unverifiable hallucinations, due to overlong length of speech, multi-party interactions and unstructured chatting. Hereby, we propose a StreamProfile, a streaming framework that processes counseling speech incrementally, extracts evidences grounded from ASR transcriptions by storing it in a Hierarchical Evidence Memory, and then performs a Chain-of-Thought pipeline according to PM+ psychological intervention for clinical reasoning. The final profile is synthesized strictly from those evidences, making every claim traceable. Experiments on real-world teenager counseling speech have shown that the proposed StreamProfile system can accurately generate the profiles and prevent hallucination. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. - [Psychological Profile Generation on Psy-Bench](): Psychological Profile Generation; Psy-Bench; SBERT Score: 0.68. ## Original sources and implementation [Original paper]() [PDF]()