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 …

We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model
with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as …

Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …

Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Abstract We introduce Directional Stimulus Prompting, a novel framework for guiding black-
box large language models (LLMs) towards specific desired outputs. Instead of directly …

Task-oriented dialogue is often decomposed into three tasks: understanding user input,
deciding actions, and generating a response. While such decomposition might suggest a …

Designing dialog tutors has been challenging as it involves modeling the diverse and
complex pedagogical strategies employed by human tutors. Although there have been …

Pre-trained language models have been recently shown to benefit task-oriented dialogue
(TOD) systems. Despite their success, existing methods often formulate this task as a …

Virtual assistants such as Google Assistant, Alexa and Siri provide a conversational
interface to a large number of services and APIs spanning multiple domains. Such systems …

This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog.
The workshop explored the current state of the art along with its limitations and suggested …