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 …
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 …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
Mt-bench-101: A fine-grained benchmark for evaluating large language models in multi-turn dialogues
The advent of Large Language Models (LLMs) has drastically enhanced dialogue systems.
However, comprehensively evaluating the dialogue abilities of LLMs remains a challenge …
However, comprehensively evaluating the dialogue abilities of LLMs remains a challenge …
Empowering large language models: Tool learning for real-world interaction
Since the advent of large language models (LLMs), the field of tool learning has remained
very active in solving various tasks in practice, including but not limited to information …
very active in solving various tasks in practice, including but not limited to information …
Dialogbench: Evaluating llms as human-like dialogue systems
J Ou, J Lu, C Liu, Y Tang, F Zhang, D Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) have achieved remarkable breakthroughs in new dialogue
capabilities by leveraging instruction tuning, which refreshes human impressions of …
capabilities by leveraging instruction tuning, which refreshes human impressions of …
Can llms reason like humans? assessing theory of mind reasoning in llms for open-ended questions
Theory of mind (ToM) reasoning involves understanding that others have intentions,
emotions, and thoughts, which is crucial for regulating one's reasoning. Although large …
emotions, and thoughts, which is crucial for regulating one's reasoning. Although large …
Unims-rag: A unified multi-source retrieval-augmented generation for personalized dialogue systems
Large Language Models (LLMs) has shown exceptional capabilities in many natual
language understanding and generation tasks. However, the personalization issue still …
language understanding and generation tasks. However, the personalization issue still …
TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration
Previous works in tool learning mainly focus on the external function tools, such as models
and APIs, while overlooking the existence of cognitive tools inside the cognitive/thinking …
and APIs, while overlooking the existence of cognitive tools inside the cognitive/thinking …
Conversational disease diagnosis via external planner-controlled large language models
The development of large language models (LLMs) has brought unprecedented possibilities
for artificial intelligence (AI) based medical diagnosis. However, the application perspective …
for artificial intelligence (AI) based medical diagnosis. However, the application perspective …