Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Support
SB Loh, AS Raamkumar - arXiv preprint arXiv:2310.08017, 2023 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable performance across
various information-seeking and reasoning tasks. These computational systems drive state …
various information-seeking and reasoning tasks. These computational systems drive state …
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
Having the ability to empathize is crucial for accurately representing human behavior during
conversations. Despite numerous research aim to improve the cognitive capability of models …
conversations. Despite numerous research aim to improve the cognitive capability of models …
KnowDT: Empathetic dialogue generation with knowledge enhanced dependency tree
Y Liu, D Han, G Wu, B Qiao - Applied Intelligence, 2024 - Springer
A human-like dialogue system should prioritize expressing empathy towards others, which
entails two crucial aspects:(1) semantic cognition and (2) emotion detection. Previous …
entails two crucial aspects:(1) semantic cognition and (2) emotion detection. Previous …
Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data
In recent years, with the rapid advancements in large language models (LLMs), achieving
excellent empathetic response capability has become a crucial prerequisite. Consequently …
excellent empathetic response capability has become a crucial prerequisite. Consequently …
DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation
Z Zhang, X Wang, L Yuan, G Miao, M Liu… - … Conference on Neural …, 2023 - Springer
For emotion recognition in conversation (ERC), the modeling of conversational dependency
plays a crucial role. Existing methods often directly connect multimodal information and then …
plays a crucial role. Existing methods often directly connect multimodal information and then …
Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion
Y Miao, C Lu, T Liu, W Zhang, Y Wen… - 2023 IEEE 14th …, 2023 - ieeexplore.ieee.org
An empathic dialogue generation model based on comparative learning and multi-source
data fusion is proposed to address problems of the under-extraction of contextual emotional …
data fusion is proposed to address problems of the under-extraction of contextual emotional …
Dialogový Management Pro Konverzační Umělou Inteligenci
P Marek - 2023 - search.proquest.com
Konverzační umělá inteligence je počítačový program, který umožňuje komunikovat s
počítači pomocí přirozeného jazyka. Ústřední složkou konverzační umělé inteligence je …
počítači pomocí přirozeného jazyka. Ústřední složkou konverzační umělé inteligence je …
Dialogový Management pro Konverzační Umělou Inteligenci
M Petr - 2023 - dspace.cvut.cz
Konverzační umělá inteligence je počítačový program, který umožňuje komunikovat s
počítači pomocí přirozeného jazyka. Ústřední složkou konverzační umělé inteligence je …
počítači pomocí přirozeného jazyka. Ústřední složkou konverzační umělé inteligence je …