Search Results for author:
Found 6 papers, 4 papers with code
A Unifying View On Task-oriented Dialogue Annotation
In this paper, we present a new dataset, obtained by merging four publicly available annotated corpora for task-oriented dialogues in several domains (MultiWOZ 2. 2, CamRest676, DSTC2 and Schema-Guided Dialogue Dataset).
Three Ways of Using Large Language Models to Evaluate Chat
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition.
Are LLMs All You Need for Task-Oriented Dialogue?
Instructions-tuned Large Language Models (LLMs) gained recently huge popularity thanks to their ability to interact with users through conversation.
Learning Interpretable Latent Dialogue Actions With Less Supervision
We present a novel architecture for explainable modeling of task-oriented dialogues with discrete latent variables to represent dialogue actions.
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
Our model substantially outperforms the baseline on the MultiWOZ data and shows competitive performance with state of the art in both automatic and human evaluation.
Ranked #3 on
End-To-End Dialogue Modelling
on MULTIWOZ 2.0
(using extra training data)
Recurrent Neural Networks for Dialogue State Tracking
This paper discusses models for dialogue state tracking using recurrent neural networks (RNN).
