The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

An accurate differential diagnosis (DDx) is a cornerstone of medical care, often reached
through an iterative process of interpretation that combines clinical history, physical …

Effective conversation requires common ground: a shared understanding between the
participants. Common ground, however, does not emerge spontaneously in conversation …

When prompting language models to complete a task, users often leave important aspects
unsaid. While asking questions could resolve this ambiguity\citep [GATE;][]{li2023eliciting} …

People rely on social skills like conflict resolution to communicate effectively and to thrive in
both work and personal life. However, practice environments for social skills are typically out …

Recent advances in large language models (LLM) have enabled richer social simulations,
allowing for the study of various social phenomena. However, most recent work has used a …

Large vision-language models (VLMs) fine-tuned on specialized visual instruction-following
data have exhibited impressive language reasoning capabilities across various scenarios …

Due to strong capabilities in conducting fluent, multi-turn conversations with users, Large
Language Models (LLMs) have the potential to further improve the performance of …

Large language models (LLMs) must often respond to highly ambiguous user requests. In
such cases, the LLM's best response may be to ask a clarifying question to elicit more …

To be safely and successfully deployed, LLMs must simultaneously satisfy truthfulness and
utility goals. Yet, often these two goals compete (eg, an AI agent assisting a used car …