Building emotional support chatbots in the era of llms
The integration of emotional support into various conversational scenarios presents
profound societal benefits, such as social interactions, mental health counseling, and …
profound societal benefits, such as social interactions, mental health counseling, and …
Towards Human-centered Proactive Conversational Agents
Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
Task supportive and personalized human-large language model interaction: A user study
Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online
information-seeking (IS) and problem-solving tasks. However, users still face challenges …
information-seeking (IS) and problem-solving tasks. However, users still face challenges …
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
In the evolving landscape of recommender systems, the integration of Large Language
Models (LLMs) such as ChatGPT marks a new era, introducing the concept of …
Models (LLMs) such as ChatGPT marks a new era, introducing the concept of …
PANDALens: Towards AI-Assisted In-Context Writing on OHMD During Travels
While effective for recording and sharing experiences, traditional in-context writing tools are
relatively passive and unintelligent, serving more like instruments rather than companions …
relatively passive and unintelligent, serving more like instruments rather than companions …
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 …
Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery
Generalized category discovery faces a key issue: the lack of supervision for new and
unseen data categories. Traditional methods typically combine supervised pretraining with …
unseen data categories. Traditional methods typically combine supervised pretraining with …
Clusterprompt: Cluster semantic enhanced prompt learning for new intent discovery
The discovery of new intent categories from user utterances is a crucial task in expanding
agent skills. The key lies in how to efficiently solicit semantic evidence from utterances and …
agent skills. The key lies in how to efficiently solicit semantic evidence from utterances and …
[HTML][HTML] Augmented non-hallucinating large language models as medical information curators
Reliably processing and interlinking medical information has been recognized as a critical
foundation to the digital transformation of medical workflows, and despite the development …
foundation to the digital transformation of medical workflows, and despite the development …
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems
Large Language Models (LLMs) have demonstrated great potential in Conversational
Recommender Systems (CRS). However, the application of LLMs to CRS has exposed a …
Recommender Systems (CRS). However, the application of LLMs to CRS has exposed a …