Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …

Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …

The largest store of continually updating knowledge on our planet can be accessed via
internet search. In this work we study giving access to this information to conversational …

Building open-domain chatbots is a challenging area for machine learning research. While
prior work has shown that scaling neural models in the number of parameters and the size of …

Despite recent advances in natural language generation, it remains challenging to control
attributes of generated text. We propose DExperts: Decoding-time Experts, a decoding-time …

Despite recent improvements in open-domain dialogue models, state of the art models are
trained and evaluated on short conversations with little context. In contrast, the long-term …

We show how to assess a language model's knowledge of basic concepts of morality. We
introduce the ETHICS dataset, a new benchmark that spans concepts in justice, well-being …

In this paper, we address the task of utterance level emotion recognition in conversations
using commonsense knowledge. We propose COSMIC, a new framework that incorporates …