| COLING24 |
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation |
 |
 |
| NAACL |
Grounding Gaps in Language Model Generations |
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 |
| ➖ |
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution |
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➖ |
| ➖ |
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches |
 |
➖ |
| ➖ |
The Good, The Bad, and Why: Unveiling Emotions in Generative AI |
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➖ |
| ➖ |
Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts |
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 |
| ➖ |
Large Language Models Produce Responses Perceived to be Empathic |
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 |
| ➖ |
PsyChat: A Client-Centric Dialogue System for Mental Health Support |
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 |
| ➖ |
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking |
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➖ |
| ➖ |
Socratic Reasoning Improves Positive Text Rewriting |
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➖ |
| AAAI24 |
COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal |
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| ➖ |
Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback |
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➖ |
| ➖ |
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought |
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➖ |
| ➖ |
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation |
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➖ |
| ➖ |
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis |
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 |
| ➖ |
WHO IS CHATGPT? BENCHMARKING LLMS’PSYCHOLOGICAL PORTRAYAL USING PSYCHOBENCH |
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 |
| ➖ |
CauESC: A Causal Aware Model for Emotional Support Conversation |
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➖ |
| ➖ |
Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities |
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| ➖ |
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning |
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➖ |
| NIPS23 |
Aligning Language Models with Human Preferences via a Bayesian Approach |
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| EMNLP23 |
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing |
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➖ |
| EMNLP23 |
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements |
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➖ |
| ➖ |
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation |
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➖ |
| ➖ |
Enhancing Empathetic and Emotion Support Dialogue Generation with Prophetic Commonsense Inference |
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➖ |
| ➖ |
SoulChat: Improving LLMs’ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations |
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| ➖ |
Knowledge-enhanced Memory Model for Emotional Support Conversation |
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➖ |
| IEEE23 |
Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models |
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➖ |
| ➖ |
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models |
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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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| AAAI23 |
ConvNTM: Conversational Neural Topic Model |
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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 |
 |
 |
| 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 |
 |
➖ |
| ➖ |
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments |
 |
➖ |
| ➖ |
Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality |
 |
➖ |
| 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 |
 |
➖ |
| ➖ |
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 |
 |
➖ |
| NEURIPS20 |
CheerBots: Chatbots toward Empathy and Emotion using Reinforcement Learning |
 |
➖ |
| LREC20 |
Learning word ratings for empathy and distress from document-level user responses |
 |
➖ |
| EMNLP20 |
MIME: MIMicking Emotions for Empathetic Response Generation |
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 |
| ➖ |
EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems |
 |
 |
| SIGIR20 |
What If Bots Feel Moods ? Towards Controllable Retrieval-based Dialogue Systems with Emotion-Aware Transition Networks |
 |
➖ |
| ICASSP20 |
Generating Empathetic Responses by Looking Ahead the User's Sentiment |
 |
 |
| ➖ |
DialogueTRM: exploring the intraAnd inter-modal emotional behaviors in the conversation |
 |
➖ |
| COLING20 |
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation |
 |
 |
| ➖ |
A Multi-Turn Emotionally Engaging Dialog Model |
 |
 |
| ➖ |
Emotional Neural Language Generation Grounded in Situational Contexts |
 |
 |
| EMNLP19 |
MOEL: Mixture of empathetic listeners |
 |
 |
| NAACL19 |
Affect-Driven Dialog Generation |
 |
➖ |
| ACL19 |
Generating Responses with a Specific Emotion in Dialog |
 |
➖ |
| LREC19 |
Empathetic dialog systems |
 |
➖ |
| AAAI19 |
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss |
 |
➖ |
| AAAI18 |
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory |
 |
 |
| AAAI18 |
Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach |
 |
➖ |
| ACL17 |
Affect-LM: A Neural Language Model for Customizable Affective Text Generation |
 |
➖ |
| ACL17 |
Predicting Counselor Behaviors in Motivational Interviewing Encounters |
 |
➖ |
| ➖ |
A deep learning approach to modeling empathy in addiction counseling |
 |
➖ |