Cover Image

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Xinzhe, Ji, Sijie, Sun, Jiawei, Chen, Renqi, Gao, Wei, Srivastava, Mani
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
by: Ji, Sijie, et al.
Published: (2024)

HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
by: Ji, Sijie, et al.
Published: (2024)

DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
by: Chen, Renqi, et al.
Published: (2024)

From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
by: Xu, Ke, et al.
Published: (2026)

SitLLM: Large Language Models for Sitting Posture Health Understanding via Pressure Sensor Data
by: Gao, Jian, et al.
Published: (2025)

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
by: Patil, Avinash, et al.
Published: (2025)

Beyond Static Summarization: Proactive Memory Extraction for LLM Agents
by: Yang, Chengyuan, et al.
Published: (2026)

InsightFlow: LLM-Driven Synthesis of Patient Narratives for Mental Health into Causal Models
by: Gupta, Shreya, et al.
Published: (2026)

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
by: Sun, Yuxi, et al.
Published: (2025)

Analyzing LLM Reasoning to Uncover Mental Health Stigma
by: Sankar, Sreehari, et al.
Published: (2026)

Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
by: Li, Xinzhe, et al.
Published: (2023)

MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data
by: Mankarious, Saad, et al.
Published: (2025)

SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
by: Wang, Lichao, et al.
Published: (2026)

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
by: Yang, Bufang, et al.
Published: (2025)

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
by: Kim, Yubin, et al.
Published: (2024)

A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
by: Li, Xinzhe
Published: (2024)

Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
by: Srivastava, Saksham Sahai
Published: (2026)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
by: Ding, Hongxin, et al.
Published: (2025)

\texttt{ReMind}: Understanding Deductive Code Reasoning in LLMs
by: Gao, Jun, et al.
Published: (2025)

Mind with Eyes: from Language Reasoning to Multimodal Reasoning
by: Lin, Zhiyu, et al.
Published: (2025)

MindEval: Benchmarking Language Models on Multi-turn Mental Health Support
by: Pombal, José, et al.
Published: (2025)

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
by: Xu, Xuhai, et al.
Published: (2023)

PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning
by: Kim, Byeongjin, et al.
Published: (2026)

Exploring the Mystery of Influential Data for Mathematical Reasoning
by: Ni, Xinzhe, et al.
Published: (2024)

ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024)

PrefDisco: Benchmarking Proactive Personalized Reasoning
by: Li, Shuyue Stella, et al.
Published: (2025)

Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
by: Srivastava, Aseem, et al.
Published: (2025)

BiMind: A Dual-Head Reasoning Model with Attention-Geometry Adapter for Incorrect Information Detection
by: Zhang, Zhongxing, et al.
Published: (2026)

LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
by: Jiang, Jin, et al.
Published: (2024)

NAS-LoRA: Empowering Parameter-Efficient Fine-Tuning for Visual Foundation Models with Searchable Adaptation
by: Chen, Renqi, et al.
Published: (2025)

Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)

Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
by: Ji, Haoxuan, et al.
Published: (2024)

Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation
by: Mazhar, Abdullah, et al.
Published: (2026)

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
by: Ouyang, Xiaomin, et al.
Published: (2024)

Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLM
by: Xiong, Zhen, et al.
Published: (2025)

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
by: Feng, Yichun, et al.
Published: (2025)

Temporal Consistency for LLM Reasoning Process Error Identification
by: Guo, Jiacheng, et al.
Published: (2025)

Entropy-Guided Reasoning Compression
by: Zhu, Hourun, et al.
Published: (2025)

ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation
by: Kim, Jiho, et al.
Published: (2025)

Causal LLM Routing: End-to-End Regret Minimization from Observational Data
by: Tsiourvas, Asterios, et al.
Published: (2025)