Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention
Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …
conversations with chatbots. Although LLM-driven chatbots have the potential to support …
Llmr: Real-time prompting of interactive worlds using large language models
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …
Recursively summarizing enables long-term dialogue memory in large language models
Most open-domain dialogue systems suffer from forgetting important information, especially
in a long-term conversation. Existing works usually train the specific retriever or summarizer …
in a long-term conversation. Existing works usually train the specific retriever or summarizer …
Mpchat: Towards multimodal persona-grounded conversation
In order to build self-consistent personalized dialogue agents, previous research has mostly
focused on textual persona that delivers personal facts or personalities. However, to fully …
focused on textual persona that delivers personal facts or personalities. However, to fully …
Memory sandbox: Transparent and interactive memory management for conversational agents
The recent advent of large language models (LLM) has resulted in high-performing
conversational agents such as ChatGPT. These agents must remember key information from …
conversational agents such as ChatGPT. These agents must remember key information from …
Talk2Care: facilitating asynchronous patient-provider communication with large-language-model
Despite the plethora of telehealth applications to assist home-based older adults and
healthcare providers, basic messaging and phone calls are still the most common …
healthcare providers, basic messaging and phone calls are still the most common …
Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions
Chatbots are capable of remembering and referencing previous conversations, but does this
enhance user engagement or infringe on privacy? To explore this trade-off, we investigated …
enhance user engagement or infringe on privacy? To explore this trade-off, we investigated …
Conversation chronicles: Towards diverse temporal and relational dynamics in multi-session conversations
In the field of natural language processing, open-domain chatbots have emerged as an
important research topic. However, a major limitation of existing open-domain chatbot …
important research topic. However, a major limitation of existing open-domain chatbot …
PlanFitting: Tailoring Personalized Exercise Plans with Large Language Models
A personally tailored exercise regimen is crucial to ensuring sufficient physical activities, yet
challenging to create as people have complex schedules and considerations and the …
challenging to create as people have complex schedules and considerations and the …
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 …