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 …
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 …
Impact of guidance and interaction strategies for LLM use on Learner Performance and perception
Personalized chatbot-based teaching assistants can be crucial in addressing increasing
classroom sizes, especially where direct teacher presence is limited. Large language …
classroom sizes, especially where direct teacher presence is limited. Large language …
A comprehensive survey on deep learning techniques in educational data mining
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …
the power of computational techniques to analyze educational data. With the increasing …
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
Dialogue systems are designed to offer human users social support or functional services
through natural language interactions. Traditional conversation research has put significant …
through natural language interactions. Traditional conversation research has put significant …
Synergizing large language models and pre-trained smaller models for conversational intent discovery
Abstract In Conversational Intent Discovery (CID), Small Language Models (SLMs) struggle
with overfitting to familiar intents and fail to label newly discovered ones. This issue stems …
with overfitting to familiar intents and fail to label newly discovered ones. This issue stems …
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 …
Self-chats from large language models make small emotional support chatbot better
Abstract Large Language Models (LLMs) have shown strong generalization abilities to excel
in various tasks, including emotion support conversations. However, deploying such LLMs …
in various tasks, including emotion support conversations. However, deploying such LLMs …
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 …
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
Spoken Conversational Search (SCS) poses unique challenges in understanding user-
system interactions due to the absence of visual cues, and the complexity of less structured …
system interactions due to the absence of visual cues, and the complexity of less structured …