The paper formalizes cognitive atrophy as a distinct process-level measure, introduces the Cognitive Atrophy Bench benchmark from 1,576 human counseling conversations, and reports moderate-to-high atrophy-aligned behaviors across five LLMs.
Cpsycoun: A report-based multi-turn dialogue reconstruction and evaluation framework for chinese psychological counseling
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
abstract
Using large language models (LLMs) to assist psychological counseling is a significant but challenging task at present. Attempts have been made on improving empathetic conversations or acting as effective assistants in the treatment with LLMs. However, the existing datasets lack consulting knowledge, resulting in LLMs lacking professional consulting competence. Moreover, how to automatically evaluate multi-turn dialogues within the counseling process remains an understudied area. To bridge the gap, we propose CPsyCoun, a report-based multi-turn dialogue reconstruction and evaluation framework for Chinese psychological counseling. To fully exploit psychological counseling reports, a two-phase approach is devised to construct high-quality dialogues while a comprehensive evaluation benchmark is developed for the effective automatic evaluation of multi-turn psychological consultations. Competitive experimental results demonstrate the effectiveness of our proposed framework in psychological counseling. We open-source the datasets and model for future research at https://github.com/CAS-SIAT-XinHai/CPsyCoun
citation-role summary
baseline 1
citation-polarity summary
years
2026 3roles
baseline 1polarities
baseline 1representative citing papers
BlossomPsy combines multi-turn LLM dialogue, photo-based items, a multi-head classifier, modified UCB, and PID-tuned confidence scaling for adaptive MBTI assessment with preliminary human and LLM evaluation.
PsychAgent combines memory-augmented planning, trajectory-based skill evolution, and rejection fine-tuning to create a self-improving AI psychological counselor that outperforms general LLMs in multi-session evaluations.
citing papers explorer
-
Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour
The paper formalizes cognitive atrophy as a distinct process-level measure, introduces the Cognitive Atrophy Bench benchmark from 1,576 human counseling conversations, and reports moderate-to-high atrophy-aligned behaviors across five LLMs.
-
BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments
BlossomPsy combines multi-turn LLM dialogue, photo-based items, a multi-head classifier, modified UCB, and PID-tuned confidence scaling for adaptive MBTI assessment with preliminary human and LLM evaluation.
-
PsychAgent: An Experience-Driven Lifelong Learning Agent for Self-Evolving Psychological Counselor
PsychAgent combines memory-augmented planning, trajectory-based skill evolution, and rejection fine-tuning to create a self-improving AI psychological counselor that outperforms general LLMs in multi-session evaluations.