Goal-oriented semantic communications for robotic waypoint transmission: The value and age of information approach
The ultra-reliable and low-latency communication (URLLC) service of the fifth-generation
(5G) mobile communication network struggles to support safe robot operation. Nowadays …
(5G) mobile communication network struggles to support safe robot operation. Nowadays …
OSTOD: One-Step Task-Oriented Dialogue with activated state and retelling response
As of present, the progress of conversational AI research has been greatly propelled by
large-scale pre-trained language models. In particular, task-oriented dialogue systems have …
large-scale pre-trained language models. In particular, task-oriented dialogue systems have …
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
Task-oriented Dialog (ToD) systems have to solve multiple subgoals to accomplish user
goals, whereas feedback is often obtained only at the end of the dialog. In this work, we …
goals, whereas feedback is often obtained only at the end of the dialog. In this work, we …
Task-oriented Semantics-aware Communications for Robotic Waypoint Transmission: the Value and Age of Information Approach
The ultra-reliable and low-latency communication (URLLC) service of the fifth-generation
(5G) mobile communication network struggles to support safe robot operation. Nowadays …
(5G) mobile communication network struggles to support safe robot operation. Nowadays …
A Few-shot Approach to Task-oriented Dialogue Enhanced with Chitchat
A Stricker, P Paroubek - Proceedings of the 25th Annual Meeting …, 2024 - aclanthology.org
Large language models (LLMs) tuned for chat have recently been adopted for few-shot end-
to-end task-oriented dialogue (TOD), with some success. To further assess this method, we …
to-end task-oriented dialogue (TOD), with some success. To further assess this method, we …
Enhancing Dialogue Generation Through Iterative Prompt with Difference Analogy Learning
M Wang, Z Huang, C Yuan, H Liu… - 2024 9th International …, 2024 - ieeexplore.ieee.org
In-context learning (ICL) is increasingly employed in open-domain dialogue tasks,
showcasing remarkable capabilities in areas such as persona consistency, dialogue …
showcasing remarkable capabilities in areas such as persona consistency, dialogue …
[PDF][PDF] Dynamic Prompting: Large Language Models for Task Oriented Dialog
Abstract Large Language Models show impressive results in many different applications,
most notably in the context of questionanswering and open dialog situations. However, it is …
most notably in the context of questionanswering and open dialog situations. However, it is …