Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

Conversational search systems enable information retrieval via natural language
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …

Conversational AI systems such as Alexa need to understand defective queries to ensure
robust conversational understanding and reduce user friction. These defective queries often …

In conversational AI agents, Query Rewriting (QR) plays a crucial role in reducing user
frictions and satisfying their daily demands. User frictions are caused by various reasons …

Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing
frictions. When there is an entity error, it imposes extra challenges for a dialogue system to …

Communicating efficiently in natural language requires that we often leave information
implicit, especially in spontaneous speech. This frequently results in phenomena of …

Conversational understanding is an integral part of modern intelligent devices. In a large
fraction of the global traffic from customers using smart digital assistants, frictions in …

General-purpose automatic speech recognition (ASR) systems do not always perform well in
goal-oriented dialogue. Existing ASR correction methods rely on prior user data or named …

Voice assistants such as Alexa, Siri, and Google Assistant have become increasingly
popular worldwide. However, linguistic variations, variability of speech patterns, ambient …

In the last decade, conversational artificial intelligence (AI) systems have been widely
employed to address people's real-life needs across various different environments and …