← Search

Gwénolé Lecorvé

7 accepted papers

2025

Factual Knowledge Assessment of Language Models Using Distractors

COLING 2025main

Language models encode extensive factual knowledge within their parameters. The accurate assessment of this knowledge is crucial for understanding and improving these models. In the literature, factual knowledge assessment often relies on cloze sentences, which can lead to erroneous conclusions due…

2025

Statistical Deficiency for Task Inclusion Estimation

ACL 2025long

Tasks are central in machine learning, as they are the most natural objects to assess the capabilities of current models. The trend is to build general models able to address any task. Even though transfer learning and multitask learning try to leverage the underlying task space, no well-founded too…

Cited by 0SourcePDFScholar
2024

KGConv, a Conversational Corpus Grounded in Wikidata

COLING 2024main

We present KGConv, a large corpus of 71k English conversations where each question-answer pair is grounded in a Wikidata fact. Conversations contain on average 8.6 questions and for each Wikidata fact, we provide multiple variants (12 on average) of the corresponding question using templates, human…

Cited by 1SourcePDFScholar
2024

WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models

COLING 2024main

The factuality of large language model (LLMs) tends to decay over time since events posterior to their training are “unknown” to them. One way to keep models up-to-date could be factual update: the task of inserting, replacing, or removing certain simple (atomic) facts within the model. To study thi…

2020

Mama/Papa, Is this Text for Me?

COLING 2020main

Children have less linguistic skills than adults, which makes it more difficult for them to understand some texts, for instance when browsing the Internet. In this context, we present a novel method which predicts the minimal age from which a text can be understood. This method analyses each sentenc…

Cited by 8SourcePDFScholar
2020

Style versus Content: A distinction without a (learnable) difference?

COLING 2020main

Textual style transfer involves modifying the style of a text while preserving its content. This assumes that it is possible to separate style from content. This paper investigates whether this separation is possible. We use sentiment transfer as our case study for style transfer analysis. Our exper…

Cited by 16SourcePDFScholar