Copertina

A Dual-Prompting for Interpretable Mental Health Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jeon, Hyolim, Yoo, Dongje, Lee, Daeun, Son, Sejung, Kim, Seungbae, Han, Jinyoung
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
di: Lee, Daeun, et al.
Pubblicazione: (2023)

Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders
di: Kim, Seungbae, et al.
Pubblicazione: (2025)

Synthetic Data Generation for Phrase Break Prediction with Large Language Model
di: Lee, Hoyeon, et al.
Pubblicazione: (2025)

A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
di: Jeon, Sohyeon, et al.
Pubblicazione: (2025)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
di: Hwang, Yeonjun, et al.
Pubblicazione: (2026)

COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt
di: Lee, Suyeon, et al.
Pubblicazione: (2024)

Towards Generalist Prompting for Large Language Models by Mental Models
di: Guan, Haoxiang, et al.
Pubblicazione: (2024)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
di: Kwon, Taeyoon, et al.
Pubblicazione: (2023)

DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models
di: Cho, Sangyeon, et al.
Pubblicazione: (2024)

DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
di: Zhyrko, Maryia, et al.
Pubblicazione: (2026)

Large Language Model for Mental Health: A Systematic Review
di: Guo, Zhijun, et al.
Pubblicazione: (2024)

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders
di: Li, Cheng, et al.
Pubblicazione: (2024)

PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
di: Song, Inpyo, et al.
Pubblicazione: (2025)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
di: Zhou, Shuang, et al.
Pubblicazione: (2024)

A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
di: Marrapese, Alexander, et al.
Pubblicazione: (2024)

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
di: Kim, Jinyoung, et al.
Pubblicazione: (2024)

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

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
di: Park, Cheonbok, et al.
Pubblicazione: (2025)

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

Do Large Language Models Align with Core Mental Health Counseling Competencies?
di: Nguyen, Viet Cuong, et al.
Pubblicazione: (2024)

Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
di: Hengle, Amey, et al.
Pubblicazione: (2024)

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

ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
di: Han, Hojae, et al.
Pubblicazione: (2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
di: Lee, Jung Hyun, et al.
Pubblicazione: (2024)

Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift
di: Kim, Hyunwoo, et al.
Pubblicazione: (2026)

ALBA: Adaptive Language-based Assessments for Mental Health
di: Varadarajan, Vasudha, et al.
Pubblicazione: (2023)

Before and After ChatGPT: Revisiting AI-Based Dialogue Systems for Emotional Support
di: Lee, Daeun, et al.
Pubblicazione: (2026)

LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education
di: Lee, Unggi, et al.
Pubblicazione: (2024)

An Ubuntu-Guided Large Language Model Framework for Cognitive Behavioral Mental Health Dialogue
di: Forane, Sontaga G., et al.
Pubblicazione: (2026)

RECAP: Resistance Capture in Text-based Mental Health Counseling with Large Language Models
di: Li, Anqi, et al.
Pubblicazione: (2026)

Prompt-based Depth Pruning of Large Language Models
di: Wee, Juyun, et al.
Pubblicazione: (2025)

TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health
di: Xiong, Zixin, et al.
Pubblicazione: (2026)

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
di: Son, Hyegang, et al.
Pubblicazione: (2024)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
di: Ong, Kai Tzu-iunn, et al.
Pubblicazione: (2024)

DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models
di: Kim, Olivia
Pubblicazione: (2025)

Large Language Models for Interpretable Mental Health Diagnosis
di: Kim, Brian Hyeongseok, et al.
Pubblicazione: (2025)

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
di: Kim, Hana, et al.
Pubblicazione: (2024)

PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support
di: Kim, Jiwon, et al.
Pubblicazione: (2026)

LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
di: Xu, Wenxuan, et al.
Pubblicazione: (2025)

EXAONE Deep: Reasoning Enhanced Language Models
di: Bae, Kyunghoon, et al.
Pubblicazione: (2025)