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Building Emotional Support Chatbots in the Era of LLMs |
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The Capability of Large Language Models to Measure Psychiatric Functioning |
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Leveraging Large Language Models for Mental Health Prediction via Online Text Data |
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A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge |
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Towards Interpretable Mental Health Analysis with ChatGPT |
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MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation |
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INLG23 |
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions |
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EACL23 |
Empathy Identification Systems are not Accurately Accounting for Context |
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ACL23 |
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach |
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ACL23 |
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction |
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ACL23 |
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation |
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ACL23 |
Unsupervised Extractive Summarization of Emotion Triggers |
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ACL23 |
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy |
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ACL23 |
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations |
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ACL23 |
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition |
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ACL23 |
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge |
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LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation |
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Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback |
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SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support |
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MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic |
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Local dynamic mode of Cognitive Behavioral Therapy |
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Improving Mental Health Support Response Generation with Event-based Knowledge Graph |
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ICASSP23 |
Empathetic Response Generation via Emotion Cause Transition Graph |
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CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior |
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Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation |
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Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling |
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➖ |
Curriculum-guided Abstractive Summarization for Mental Health Online Posts |
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➖ |
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective |
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EMNLP22 |
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts |
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EMNLP22 |
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation |
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Affective feature knowledge interaction for empathetic conversation generation |
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FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation |
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➖ |
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion |
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Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats |
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PoKE: Prior Knowledge Enhanced Emotional Support Conversation with Latent Variable |
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EMNLP22 |
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection |
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EMNLP22 |
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning |
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COLING22 |
Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue Generation |
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CCL22 |
Using Extracted Emotion Cause to Improve Content-Relevance for Empathetic Conversation Generation |
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IJCNN22 |
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective |
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SIGIR22 |
Towards Motivational and Empathetic Response Generation in Online Mental Health Support |
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Don’t Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness |
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Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation |
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CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation |
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NAACL22 |
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy |
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NAACL22 |
Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances |
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NAACL22 |
EmpHi: Generating Empathetic Responses with Human-like Intents |
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Empathetic Response Generation with State Management |
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IJCAI22 |
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation |
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ACL22 |
MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation |
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Emotion-based Modeling of Mental Disorders on Social Media |
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➖ |
Data Augmentation for Mental Health Classification on Social Media |
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AAAI22 |
CEM: Commonsense-aware Empathetic Response Generation |
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AAAI22 |
Knowledge Bridging for Empathetic Dialogue Generation |
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EMNLP21 |
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations |
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EMNLP21 |
Distilling Knowledge for Empathy Detection |
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Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health |
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MEDCOD: A Medically-Accurate, Emotive, Diverse, and COntrollable Dialog System |
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MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare |
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EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments |
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Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality |
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EMNLP21 |
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes |
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EMNLP21 |
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation |
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Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge |
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ACL21 |
Modulating Language Models with Emotions |
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AAAI21 |
It Takes Two to Empathize: One to Seek and One to Provide |
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INLG21 |
Affective Decoding for Empathetic Response Generation |
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➖ |
Predicting User Emotional Tone in Mental Disorder Online Communities |
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➖ |
Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication |
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CPL21 |
Towards Low-Resource Real-Time Assessment of Empathy in Counselling |
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Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking |
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SentEmojiBot: Empathising Conversations Generation with Emojis |
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Towards an Online Empathetic Chatbot with Emotion Causes |
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ACL21 |
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation |
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➖ |
Generative Adversarial Imitation Learning for Empathy-based AI |
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Towards Detecting Need for Empathetic Response in Motivational Interviewing |
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WWW21 |
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking |
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WWW21 |
Towards facilitating empathic conversations in Online Mental Health Support: A Reinforcement Learning Approach |
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Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data |
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EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction |
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NEURIPS20 |
CheerBots: Chatbots toward Empathy and Emotion using Reinforcement Learning |
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LREC20 |
Learning word ratings for empathy and distress from document-level user responses |
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EMNLP20 |
MIME: MIMicking Emotions for Empathetic Response Generation |
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➖ |
EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems |
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SIGIR20 |
What If Bots Feel Moods ? Towards Controllable Retrieval-based Dialogue Systems with Emotion-Aware Transition Networks |
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ICASSP20 |
Generating Empathetic Responses by Looking Ahead the User's Sentiment |
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DialogueTRM: exploring the intraAnd inter-modal emotional behaviors in the conversation |
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➖ |
COLING20 |
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation |
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➖ |
A Multi-Turn Emotionally Engaging Dialog Model |
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➖ |
Emotional Neural Language Generation Grounded in Situational Contexts |
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EMNLP19 |
MOEL: Mixture of empathetic listeners |
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NAACL19 |
Affect-Driven Dialog Generation |
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➖ |
ACL19 |
Generating Responses with a Specific Emotion in Dialog |
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➖ |
LREC19 |
Empathetic dialog systems |
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➖ |
AAAI19 |
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss |
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➖ |
AAAI18 |
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory |
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AAAI18 |
Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach |
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➖ |
ACL17 |
Affect-LM: A Neural Language Model for Customizable Affective Text Generation |
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➖ |
ACL17 |
Predicting Counselor Behaviors in Motivational Interviewing Encounters |
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➖ |
➖ |
A deep learning approach to modeling empathy in addiction counseling |
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