MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Kailai, Zhang, Tianlin, Kuang, Ziyan, Xie, Qianqian, Huang, Jimin, Ananiadou, Sophia
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Interpretable Mental Health Analysis with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
by: Liu, Zhiwei, et al.
Published: (2024)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
by: Yang, Kailai, et al.
Published: (2024)

FMDLlama: Financial Misinformation Detection based on Large Language Models
by: Liu, Zhiwei, et al.
Published: (2024)

MentraSuite: Post-Training Large Language Models for Mental Health Reasoning and Assessment
by: Xiao, Mengxi, et al.
Published: (2025)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
by: Liu, Zhiwei, et al.
Published: (2025)

Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
by: Luo, Zheheng, et al.
Published: (2024)

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
by: Xiao, Mengxi, et al.
Published: (2024)

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
by: Yu, Zeping, et al.
Published: (2024)

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
by: Luo, Zheheng, et al.
Published: (2024)

Implicit Graph, Explicit Retrieval: Towards Efficient and Interpretable Long-horizon Memory for Large Language Models
by: Zhang, Xin, et al.
Published: (2026)

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
by: Liu, Zhiwei, et al.
Published: (2024)

Emotion Detection for Misinformation: A Review
by: Liu, Zhiwei, et al.
Published: (2023)

Me LLaMA: Foundation Large Language Models for Medical Applications
by: Xie, Qianqian, et al.
Published: (2024)

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
by: Liu, Zhiwei, et al.
Published: (2024)

Large Language Models in Mental Health Care: a Scoping Review
by: Hua, Yining, et al.
Published: (2024)

Factual consistency evaluation of summarization in the Era of large language models
by: Luo, Zheheng, et al.
Published: (2024)

Natural Language Processing for Cardiology: A Narrative Review
by: Yang, Kailai, et al.
Published: (2025)

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
by: Peng, Xueqing, et al.
Published: (2025)

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments
by: Liu, Zhiwei, et al.
Published: (2025)

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks
by: Hu, Gang, et al.
Published: (2024)

Neuron-Level Knowledge Attribution in Large Language Models
by: Yu, Zeping, et al.
Published: (2023)

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge
by: Cai, Yunna, et al.
Published: (2025)

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos
by: Huang, Xiyang, et al.
Published: (2026)

MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
by: Zhai, Wei, et al.
Published: (2024)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
by: Yu, Zeping, et al.
Published: (2024)

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
by: Yu, Zeping, et al.
Published: (2025)

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
by: Yu, Zeping, et al.
Published: (2024)

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
by: Yu, Zeping, et al.
Published: (2025)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
by: Bishop, Jennifer A, et al.
Published: (2023)

Retrieval-augmented Large Language Models for Financial Time Series Forecasting
by: Xiao, Mengxi, et al.
Published: (2025)

Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement
by: Li, Hao, et al.
Published: (2025)

DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
by: Zhang, Enze, et al.
Published: (2025)

LLaMA Pro: Progressive LLaMA with Block Expansion
by: Wu, Chengyue, et al.
Published: (2024)

LogLLaMA: Transformer-based log anomaly detection with LLaMA
by: Yang, Zhuoyi, et al.
Published: (2025)

HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
by: Wang, Yuxin, et al.
Published: (2024)

LLaMA-Omni: Seamless Speech Interaction with Large Language Models
by: Fang, Qingkai, et al.
Published: (2024)

FinBen: A Holistic Financial Benchmark for Large Language Models
by: Xie, Qianqian, et al.
Published: (2024)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)