no code implementations • 23 Apr 2024 • Constanza Fierro, Jiaang Li, Anders Søgaard
The purpose of instruction tuning is enabling zero-shot performance, but instruction tuning has also been shown to improve chain-of-thought reasoning and value alignment (Si et al., 2023).
no code implementations • 4 Apr 2024 • Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
The increasing demand for the deployment of LLMs in information-seeking scenarios has spurred efforts in creating verifiable systems, which generate responses to queries along with supporting evidence.
1 code implementation • 3 Apr 2024 • Constanza Fierro, Nicolas Garneau, Emanuele Bugliarello, Yova Kementchedjhieva, Anders Søgaard
Facts are subject to contingencies and can be true or false in different circumstances.
no code implementations • 23 May 2023 • Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata
Cross-lingual summarization consists of generating a summary in one language given an input document in a different language, allowing for the dissemination of relevant content across speakers of other languages.
1 code implementation • Findings (ACL) 2022 • Constanza Fierro, Anders Søgaard
However, for that, we need to know how reliable this knowledge is, and recent work has shown that monolingual English language models lack consistency when predicting factual knowledge, that is, they fill-in-the-blank differently for paraphrases describing the same fact.
no code implementations • ACL 2022 • Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard
Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages.
no code implementations • 19 Mar 2020 • Constanza Fierro, Jorge Pérez, Javier Mora
Deep learning techniques have been successfully applied to predict unplanned readmissions of patients in medical centers.
no code implementations • WS 2017 • Constanza Fierro, Claudio Fuentes, Jorge P{\'e}rez, Mauricio Quezada
In this paper we present the dataset of 200, 000+ political arguments produced in the local phase of the 2016 Chilean constitutional process.