" Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking
While communicating with a user, a task-oriented dialogue system has to track the user's
needs at each turn according to the conversation history. This process called dialogue state …
needs at each turn according to the conversation history. This process called dialogue state …
AI robustness: a human-centered perspective on technological challenges and opportunities
Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness
remains elusive and constitutes a key issue that impedes large-scale adoption. Besides …
remains elusive and constitutes a key issue that impedes large-scale adoption. Besides …
Show, don't tell: demonstrations outperform descriptions for schema-guided task-oriented dialogue
Building universal dialogue systems that operate across multiple domains/APIs and
generalize to new ones with minimal overhead is a critical challenge. Recent works have …
generalize to new ones with minimal overhead is a critical challenge. Recent works have …
Personalizing task-oriented dialog systems via zero-shot generalizable reward function
Task-oriented dialog systems enable users to accomplish tasks using natural language.
State-of-the-art systems respond to users in the same way regardless of their personalities …
State-of-the-art systems respond to users in the same way regardless of their personalities …
GenTUS: Simulating user behaviour and language in task-oriented dialogues with generative transformers
User simulators (USs) are commonly used to train task-oriented dialogue systems (DSs) via
reinforcement learning. The interactions often take place on semantic level for efficiency, but …
reinforcement learning. The interactions often take place on semantic level for efficiency, but …
Enhancing performance on seen and unseen dialogue scenarios using retrieval-augmented end-to-end task-oriented system
End-to-end task-oriented dialogue (TOD) systems have achieved promising performance by
leveraging sophisticated natural language understanding and natural language generation …
leveraging sophisticated natural language understanding and natural language generation …
Information extraction and human-robot dialogue towards real-life tasks: A baseline study with the mobilecs dataset
Recently, there have merged a class of task-oriented dialogue (TOD) datasets collected
through Wizard-of-Oz simulated games. However, the Wizard-of-Oz data are in fact …
through Wizard-of-Oz simulated games. However, the Wizard-of-Oz data are in fact …
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation
In task-oriented dialogue (TOD) systems designed to aid users accomplish specific goals in
one or more domains, the agent retrieves entities that satisfy user constraints from the …
one or more domains, the agent retrieves entities that satisfy user constraints from the …
Are LLMs Robust for Spoken Dialogues?
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in
different downstream tasks, including dialogue state tracking and end-to-end response …
different downstream tasks, including dialogue state tracking and end-to-end response …
The StatCan dialogue dataset: Retrieving data tables through conversations with genuine intents
We introduce the StatCan Dialogue Dataset consisting of 19,379 conversation turns
between agents working at Statistics Canada and online users looking for published data …
between agents working at Statistics Canada and online users looking for published data …