2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Three Ways of Using Large Language Models to Evaluate Chat
Ondřej Plátek, Vojtěch Hudeček, Patricia Schmidtová +2
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. We present three different approaches to predicting turn-level qualities of chatb…
cs.CL2023
Are LLMs All You Need for Task-Oriented Dialogue?
Vojtěch Hudeček, Ondřej Dušek
Instructions-tuned Large Language Models (LLMs) gained recently huge popularity thanks to their ability to interact with users through conversation. In this work we aim to evaluate…
cs.CL2022★ 1 cited
Learning Interpretable Latent Dialogue Actions With Less Supervision
Vojtěch Hudeček, Ondřej Dušek
We present a novel architecture for explainable modeling of task-oriented dialogues with discrete latent variables to represent dialogue actions. Our model is based on variational…