Empathetic Response Generation
22 papers with code • 1 benchmarks • 2 datasets
Generate empathetic responses in dialogues
Benchmarks
These leaderboards are used to track progress in Empathetic Response Generation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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EmpatheticDialogues
StickerConv
Most implemented papers
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
jfzhouyoo/case
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Empathetic conversation is psychologically supposed to be the result of conscious alignment and interaction between the cognition and affection of empathy.
Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation
lpq29743/cedual
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To solve the task, it is essential to model the content-emotion duality of a dialogue, which is composed of the content view (i. e., what personal experiences are described) and the emotion view (i. e., the feelings of the speaker on these experiences).
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness
As a critical step to achieve human-like chatbots, empathetic response generation has attained increasing interests.
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
We use a fine-grained encoding strategy which is more sensitive to the emotion dynamics (emotion flow) in the conversations to predict the emotion-intent characteristic of response.
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
Recent approaches to empathetic response generation incorporate emotion causalities to enhance comprehension of both the user's feelings and experiences.
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
hanscal/dcks
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To this end, we propose a novel approach for empathetic response generation, which incorporates an adaptive module for commonsense knowledge selection to ensure consistency between the generated empathetic responses and the speaker's situation.
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
27182812/LLM4ED
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Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI.
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
Stickers, while widely recognized for enhancing empathetic communication in online interactions, remain underexplored in current empathetic dialogue research, notably due to the challenge of a lack of comprehensive datasets.
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling
mirah-official/empathetic-chatbot-asem
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Effective feature representations play a critical role in enhancing the performance of text generation models that rely on deep neural networks.
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
zhouzhouyang520/empatheticdialoguegeneration_escm
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Based on dynamic emotion-semantic vectors and dependency trees, we propose a dynamic correlation graph convolutional network to guide the model in learning context meanings in dialogue and generating empathetic responses.
