User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
Cue-CoT: Chain-of-thought prompting for responding to in-depth dialogue questions with LLMs
Large Language Models (LLMs), such as\texttt {ChatGPT}, greatly empower dialogue
systems with strong language understanding and generation capabilities. However, most of …
systems with strong language understanding and generation capabilities. However, most of …
Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis
Sentiment analysis and emotion detection are important research topics in natural language
processing (NLP) and benefit many downstream tasks. With the widespread application of …
processing (NLP) and benefit many downstream tasks. With the widespread application of …
The good, the bad, and why: Unveiling emotions in generative ai
Emotion significantly impacts our daily behaviors and interactions. While recent generative
AI models, such as large language models, have shown impressive performance in various …
AI models, such as large language models, have shown impressive performance in various …
Tpe: Towards better compositional reasoning over conceptual tools with multi-persona collaboration
Large language models (LLMs) have demonstrated exceptional performance in planning
the use of various functional tools, such as calculators and retrievers, particularly in question …
the use of various functional tools, such as calculators and retrievers, particularly in question …
The application of large language models in medicine: A scoping review
X Meng, X Yan, K Zhang, D Liu, X Cui, Y Yang… - Iscience, 2024 - cell.com
This study systematically reviewed the application of Large Language Models (LLMs) in
medicine, analysing 550 selected studies from a vast literature search. LLMs like ChatGPT …
medicine, analysing 550 selected studies from a vast literature search. LLMs like ChatGPT …
Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention
Recent large language models (LLMs) offer the potential to support public health monitoring
by facilitating health disclosure through open-ended conversations but rarely preserve the …
by facilitating health disclosure through open-ended conversations but rarely preserve the …
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond
Conversational systems are designed to offer human users social support or functional
services through natural language interactions. Typical conversation researches mainly …
services through natural language interactions. Typical conversation researches mainly …
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
Emotional Support Conversation (ESC) is a task aimed at alleviating individuals' emotional
distress through daily conversation. Given its inherent complexity and non-intuitive nature …
distress through daily conversation. Given its inherent complexity and non-intuitive nature …
Steering Conversational Large Language Models for Long Emotional Support Conversations
In this study, we address the challenge of consistently following emotional support strategies
in long conversations by large language models (LLMs). We introduce the Strategy …
in long conversations by large language models (LLMs). We introduce the Strategy …