33 citations · 98 across the 17 of their papers we have counts for
4 papers · 1 filter
Multilingual End to End Entity Linking
Mikhail Plekhanov, Nora Kassner, Kashyap Popat +5
Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been…
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran +8
The NLP community has mainly focused on scaling Large Language Models (LLMs) vertically, i.e., making them better for about 100 languages. We instead scale LLMs horizontally: we cr…
Language Models with Rationality
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal +3
While large language models (LLMs) are proficient at question-answering (QA), it is not always clear how (or even if) an answer follows from their latent "beliefs". This lack of in…
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer +4
Entity linking methods based on dense retrieval are an efficient and widely used solution in large-scale applications, but they fall short of the performance of generative models,…