activity
20222024
most citedLeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Defining Knowledge: Bridging Epistemology and Large Language Models

Constanza Fierro, Ruchira Dhar, Filippos Stamatiou +2

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 sta…

cs.CL2024

MuLan: A Study of Fact Mutability in Language Models

Constanza Fierro, Nicolas Garneau, Emanuele Bugliarello +2

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 presi…

cs.CL2024

Word Order and World Knowledge

Qinghua Zhao, Vinit Ravishankar, Nicolas Garneau +1

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 u…

cs.CL20234 cited

LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

Ilias Chalkidis, Nicolas Garneau, Catalina Goanta +2

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, acq…

cs.IR2022

Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations

Jean-Thomas Baillargeon, Nicolas Garneau

This paper introduces the Beer2Vec model that allows the most popular alcoholic beverage in the world to be encoded into vectors enabling flavorful recommendations. We present our…