There is a resurgent interest in developing intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

Recently retrieval-augmented text generation has achieved state-of-the-art performance in
many NLP tasks and has attracted increasing attention of the NLP and IR community, this …

GPT-$3 $ has attracted lots of attention due to its superior performance across a wide range
of NLP tasks, especially with its powerful and versatile in-context few-shot learning ability …

Several recent works have considered the problem of generating reviews (or 'tips') as a form
of explanation as to why a recommendation might match a customer's interests. While …

This article describes the development of Microsoft XiaoIce, the most popular social chatbot
in the world. XiaoIce is uniquely designed as an artifical intelligence companion with an …

With direct access to human-written reference as memory, retrieval-augmented generation
has achieved much progress in a wide range of text generation tasks. Since better memory …

Recently, retrieval-augmented text generation attracted increasing attention of the
computational linguistics community. Compared with conventional generation models …

Previous research on empathetic dialogue systems has mostly focused on generating
responses given certain emotions. However, being empathetic not only requires the ability of …

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

Prior work has proved that Translation memory (TM) can boost the performance of Neural
Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and …