Search Results for author: Modestas Filipavicius

Found 5 papers, 3 papers with code

PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models

1 code implementation27 May 2020 Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez

With the fast development of COVID-19 into a global pandemic, scientists around the globe are desperately searching for effective antiviral therapeutic agents.

Drug Discovery

In-Context Learning User Simulators for Task-Oriented Dialog Systems

2 code implementations1 Jun 2023 Silvia Terragni, Modestas Filipavicius, Nghia Khau, Bruna Guedes, André Manso, Roland Mathis

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.

Goal-Oriented Dialogue Systems In-Context Learning +3

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems

no code implementations20 Feb 2024 Ivan Sekulić, Silvia Terragni, Victor Guimarães, Nghia Khau, Bruna Guedes, Modestas Filipavicius, André Ferreira Manso, Roland Mathis

Notably, we have observed that fine-tuning enhances the simulator's coherence with user goals, effectively mitigating hallucinations -- a major source of inconsistencies in simulator responses.

Data Augmentation Task-Oriented Dialogue Systems +1

BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection

no code implementations CAI (COLING) 2022 Silvia Terragni, Bruna Guedes, Andre Manso, Modestas Filipavicius, Nghia Khau, Roland Mathis

Ideally TOD systems should be able to detect dialog breakdowns to prevent users from quitting a conversation and to encourage them to interact with the system again.

Privacy Preserving

Cannot find the paper you are looking for? You can Submit a new open access paper.