Zobrazeno 1 - 10
of 1 549
pro vyhledávání: '"Garneau, A. P."'
Knowledge claims are abundant in the literature on large language models (LLMs); but can we say that GPT-4 truly "knows" the Earth is round? To address this question, we review standard definitions of knowledge in epistemology and we formalize interp
Externí odkaz:
http://arxiv.org/abs/2410.02499
Autor:
Garneau, Nicolad, Bolduc, Olivier
In Quebec and Canadian courts, the transcription of court proceedings is a critical task for appeal purposes and must be certified by an official court reporter. The limited availability of qualified reporters and the high costs associated with manua
Externí odkaz:
http://arxiv.org/abs/2408.11940
Autor:
Andrés-Thió, Nicolau, Audet, Charles, Diago, Miguel, Gheribi, Aimen E., Digabel, Sébastien Le, Lebeuf, Xavier, Garneau, Mathieu Lemyre, Tribes, Christophe
This work introduces solar, a collection of ten optimization problem instances for benchmarking blackbox optimization solvers. The instances present different design aspects of a concentrated solar power plant simulated by blackbox numerical models.
Externí odkaz:
http://arxiv.org/abs/2406.00140
Autor:
Zhou, Li, Karidi, Taelin, Liu, Wanlong, Garneau, Nicolas, Cao, Yong, Chen, Wenyu, Li, Haizhou, Hershcovich, Daniel
Recent studies have highlighted the presence of cultural biases in Large Language Models (LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively. Our work aims to bridge this gap by delving into the Food domain, a unive
Externí odkaz:
http://arxiv.org/abs/2404.06833
Autor:
Fierro, Constanza, Garneau, Nicolas, Bugliarello, Emanuele, Kementchedjhieva, Yova, Søgaard, Anders
Facts are subject to contingencies and can be true or false in different circumstances. One such contingency is time, wherein some facts mutate over a given period, e.g., the president of a country or the winner of a championship. Trustworthy languag
Externí odkaz:
http://arxiv.org/abs/2404.03036
Word order is an important concept in natural language, and in this work, we study how word order affects the induction of world knowledge from raw text using language models. We use word analogies to probe for such knowledge. Specifically, in additi
Externí odkaz:
http://arxiv.org/abs/2403.00876
Publikováno v:
npj Climate Action, Vol 3, Iss 1, Pp 1-10 (2024)
Abstract Climate change remains a polarizing issue in the United States, with conservatives expressing greater skepticism regarding its risks. We investigate how fear shapes climate attitudes across political orientations. Utilizing data from a 2023
Externí odkaz:
https://doaj.org/article/7ff17c12ef084aa68a17582b8c098937
Autor:
Émilie Saulnier-Talbot, Éliane Duchesne, Dermot Antoniades, Dominique Arseneault, Christine Barnard, Dominique Berteaux, Najat Bhiry, Frédéric Bouchard, Stéphane Boudreau, Kevin Cazelles, Jérôme Comte, Madeleine-Zoé Corbeil-Robitaille, Steeve D. Côté, Raoul-Marie Couture, Guillaume de Lafontaine, Florent Domine, Dominique Fauteux, Daniel Fortier, Michelle Garneau, Gilles Gauthier, Dominique Gravel, Isabelle Laurion, Martin Lavoie, Nicolas Lecomte, Pierre Legagneux, Esther Lévesque, Marie-José Naud, Michel Paquette, Serge Payette, Reinhard Pienitz, Milla Rautio, Alexandre Roy, Alain Royer, Martin Simard, Warwick F. Vincent, Joël Bêty
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract Northern regions are warming faster than the rest of the globe. It is difficult to predict ecosystem responses to warming because the thermal sensitivity of their biophysical components varies. Here, we present an analysis of the authors’
Externí odkaz:
https://doaj.org/article/62b0154e86ce4b5d8d8c6e86fd3c6fd8
Publikováno v:
Proceedings of 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022
This paper introduces feature gradient flow, a new technique for interpreting deep learning models in terms of features that are understandable to humans. The gradient flow of a model locally defines nonlinear coordinates in the input data space repr
Externí odkaz:
http://arxiv.org/abs/2307.13061
In this work, we conduct a detailed analysis on the performance of legal-oriented pre-trained language models (PLMs). We examine the interplay between their original objective, acquired knowledge, and legal language understanding capacities which we
Externí odkaz:
http://arxiv.org/abs/2305.07507