Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement | Paper Citation Record

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This paper cites Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

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This paper cites A survey of large language models in mental health disorder detec- tion on social media,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A survey of large language models in mental health disorder detec- tion on social media,

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This paper cites PhysReason: A comprehensive benchmark towards physics-based reasoning,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement PhysReason: A comprehensive benchmark towards physics-based reasoning,

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This paper cites A survey on multilingual mental disorders detection from social media data,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A survey on multilingual mental disorders detection from social media data,

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This paper cites Emotion fusion for mental illness detection from social media: A survey,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Emotion fusion for mental illness detection from social media: A survey,

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This paper cites ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics

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This paper cites MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement MUR: Momentum Uncertainty guided Reasoning for Large Language Models

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This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

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This paper cites Are large language models really good logical reasoners? a comprehensive evaluation and beyond,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Are large language models really good logical reasoners? a comprehensive evaluation and beyond,

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This paper cites Has multimodal learning delivered universal intelligence in healthcare? a comprehensive survey,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Has multimodal learning delivered universal intelligence in healthcare? a comprehensive survey,

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This paper cites A Survey of Automatic Prompt Engineering: An Optimization Perspective.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A Survey of Automatic Prompt Engineering: An Optimization Perspective

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This paper cites A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm

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This paper cites A systematic sur- vey of automatic prompt optimization techniques,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A systematic sur- vey of automatic prompt optimization techniques,

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This paper cites Efficient Prompting Methods for Large Language Models: A Survey.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Efficient Prompting Methods for Large Language Models: A Survey

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This paper cites Emotions in the Loop: A Survey of Affective Computing for Emotional Support.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Emotions in the Loop: A Survey of Affective Computing for Emotional Support

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This paper cites Large language models are human-level prompt engineers,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Large language models are human-level prompt engineers,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

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This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

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This paper cites Large language models as optimizers,.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Large language models as optimizers,

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This paper cites Prompt Engineering a Prompt Engineer.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Prompt Engineering a Prompt Engineer

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Mars: A multi-agent framework incorporating socratic guidance for automated prompt optimization,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A detailed sentiment analysis survey based on machine learning techniques,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A comprehensive survey on senti- ment analysis techniques,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Jcbie: a joint continual learning neural network for biomedical information extraction,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Enhancing facial emotion recognition through deep learning: Integrating CNN and RNN- LSTM models,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A CNN-LSTM based deep neural networks for facial emotion detection in videos,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Speech emotion recognition using LSTM and RNN,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Gem: Empowering mllm for grounded ecg understanding with time series and images,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Trans- former models for text-based emotion detection: a review of BERT- based approaches,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Bert-based meta-learning approach with looking back for sentiment analysis of literary book reviews,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Language and mental health: Measures of emotion dynamics from text as linguistic biosocial markers,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Au- toPrompt: Eliciting knowledge from language models with auto- matically generated prompts,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Prefix-Tuning: Optimizing continuous prompts for generation,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Gkg-llm: A unified framework for generalized knowl- edge graph construction,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Maxs: Meta-adaptive exploration with llm agents,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Meta prompting for ai systems,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement RLPrompt: Optimizing discrete text prompts with reinforcement learning,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Emotion detection on tv show transcripts with sequence-based convolutional neural networks

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Automatically select emotion for response via personality-affected emotion transition,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Rec- ognizing emotion cause in conversations,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Socialnlp emotionx 2019 challenge overview: Predicting emotions in spoken dialogues and chats,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Depressionemo: A novel dataset for multilabel classifica- tion of depression emotions,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement (2025) Introducing gpt-5

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement DeepSeek-V3 Technical Report

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Qwen3 Technical Report

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Automatic prompt optimization with

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Harnessing the power of llms in practice: A survey on chatgpt and beyond,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement A survey of sentiment analy- sis: Approaches, datasets, and future research,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Prompt compression for large language models: A survey,

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Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats

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