Paul Lerner
16 papers 13 citations h-index 1 2019–2026
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
We present a new pre-training method, Multimodal Inverse Cloze Task, for Knowledge-based Visual Question Answering about named Entities (KVQAE). KVQAE is a recently introduced task that consists...
Unlike "Likely", "Unlike" is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs
Un jeu de données pour répondre à des questions visuelles à propos d'entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)
Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy
To scale up collective decision-making, participatory democracy platforms such as Polis and Remesh enable online deliberation among thousands of participants. However, at this scale, participants...
Large Language Models are Perplexed by some Political Parties
Large Language Models (LLMs) are increasingly used, including in political applications, but their political fairness has been little studied. We assess it using perplexity, posing that a fair...
Assessing the Political Fairness of Multilingual LLMs: A Case Study based on a 21-way Multiparallel EuroParl Dataset
The political biases of Large Language Models (LLMs) are usually assessed by simulating their answers to English surveys. In this work, we propose an alternative framing of political biases,...
Cross-modal Retrieval for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering about Named Entities is a challenging task that requires retrieving information from a multimodal Knowledge Base. Named entities have diverse visual...