mlsanityData to 7 Oct 2026

MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation

arXiv 2603.03677 ↗First posted 4 Mar 2026cs.CL cs.AIcited by 1

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Abstract (arXiv)

Psychiatric consultation requires agents to elicit discriminative evidence, map uncertain narratives to diagnostic criteria, and decide when evidence suffices. Existing dialogue and retrieval-augmented systems condition policies on raw histories or appended passages, leaving observed evidence, missing checks, differentials, and support reliability entangled. We introduce MIND, a criteria-grounded evidence-state decision interface. At each turn, MIND constructs a typed state containing observed evidence, unresolved criterion checks, active differentials, criterion-linked supports, and reliability metadata. A training-split Psychiatric Reasoning Bank supplies gated supports, turning retrieval into state construction rather than prompt injection. The same state conditions action selection, process rewards, information-gain scoring, and trajectory rectification. Under EMR-grounded simulator protocols, MIND improves accuracy by 8.8 and 7.3 points over strong inference-only, RAG, and RL baselines, with gains transferring to public MDD-5k dialogues. Matched interventions attribute these gains to the shared state rather than prompt length, retrieval text, or formatting. MIND targets screening-level decision support, not autonomous diagnosis. Code is available at https://github.com/Lingxi-mental-health/MIND.AA

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 25 of its 54 references that are in the map. First posted on arXiv 4 Mar 2026.

Builds on

25 of 54 references.

References · 25

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 8,851
  3. 2025Qwen3 Technical Reportcited by 8,195
  4. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,800
  5. 2024HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMscited by 257
  6. 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
  7. 2025Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Modelscited by 144
  8. 2024CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counselingcited by 88
  9. 2019End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosiscited by 70
  10. 2025Baichuan-M2: Scaling Medical Capability with Large Verifier Systemcited by 55
  11. 2024MedCoT: Medical Chain of Thought via Hierarchical Expertcited by 46
  12. 2023ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferencescited by 43
13 more
  1. 2024CoD, Towards an Interpretable Medical Agent using Chain of Diagnosiscited by 43
  2. 2024MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoningcited by 35
  3. 2025MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosiscited by 23
  4. 2021Diaformer: Automatic Diagnosis via Symptoms Sequence Generationcited by 19
  5. 2024medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRscited by 16
  6. 2024MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agentscited by 16
  7. 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Supportcited by 16
  8. 2025The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoningcited by 8
  9. 2025Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversationscited by 6
  10. 2025Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Predictioncited by 6
  11. 2023CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generationcited by 5
  12. 2020Hierarchical Reinforcement Learning for Automatic Disease Diagnosiscited by 4
  13. 2026LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosiscited by 4

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Citing papers per year: 2026: 1.

1 paper.

  1. 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Healthcited by 0

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