The use of NLP in the realm of financial technology is broad and complex, with applications
ranging from sentiment analysis and named entity recognition to question answering. Large …

Large language models (LLMs), such as ChatGPT, are able to generate human-like, fluent
responses for many downstream tasks, eg, task-oriented dialog and question answering …

Abstract Generative Artificial Intelligence is set to revolutionize healthcare delivery by
transforming traditional patient care into a more personalized, efficient, and proactive …

We present SODA: the first publicly available, million-scale high-quality social dialogue
dataset. Using SODA, we train COSMO: a generalizable conversation agent outperforming …

The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …

Collecting high quality conversational data can be very expensive for most applications and
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …

Users seek security & privacy (S&P) advice from online resources, including trusted
websites and content-sharing platforms. These resources help users understand S&P …

This paper reviews the state-of-the-art of language models architectures and strategies for"
complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

While large neural-based conversational models have become increasingly proficient
dialogue agents, recent work has highlighted safety issues with these systems. For example …