16 citations · 31 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
How Do Multilingual Language Models Remember Facts?
Constanza Fierro, Negar Foroutan, Desmond Elliott +1
Large Language Models (LLMs) store and retrieve vast amounts of factual knowledge acquired during pre-training. Prior research has localized and identified mechanisms behind knowle…
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…
Does Instruction Tuning Make LLMs More Consistent?
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.…
Learning to Plan and Generate Text with Citations
Constanza Fierro, Reinald Kim Amplayo, Fantine Huot +4
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…