5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 5 cited
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
Ivan Sekulić, Silvia Terragni, Victor Guimarães +5
In the realm of dialogue systems, user simulation techniques have emerged as a game-changer, redefining the evaluation and enhancement of task-oriented dialogue (TOD) systems. Thes…
cs.CL2023★ 3 cited
In-Context Learning User Simulators for Task-Oriented Dialog Systems
Silvia Terragni, Modestas Filipavicius, Nghia Khau +3
This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach. By h…