The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Bactrian-x: Multilingual replicable instruction-following models with low-rank adaptation
Instruction tuning has shown great promise in improving the performance of large language
models. However, research on multilingual instruction tuning has been limited due to the …
models. However, research on multilingual instruction tuning has been limited due to the …
XOR QA: Cross-lingual open-retrieval question answering
Multilingual question answering tasks typically assume answers exist in the same language
as the question. Yet in practice, many languages face both information scarcity--where …
as the question. Yet in practice, many languages face both information scarcity--where …
The belebele benchmark: a parallel reading comprehension dataset in 122 language variants
We present Belebele, a multiple-choice machine reading comprehension (MRC) dataset
spanning 122 language variants. Significantly expanding the language coverage of natural …
spanning 122 language variants. Significantly expanding the language coverage of natural …
Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
DuRecDial 2.0: A bilingual parallel corpus for conversational recommendation
In this paper, we provide a bilingual parallel human-to-human recommendation dialog
dataset (DuRecDial 2.0) to enable researchers to explore a challenging task of multilingual …
dataset (DuRecDial 2.0) to enable researchers to explore a challenging task of multilingual …
Revisiting machine translation for cross-lingual classification
Machine Translation (MT) has been widely used for cross-lingual classification, either by
translating the test set into English and running inference with a monolingual model …
translating the test set into English and running inference with a monolingual model …
Give me the facts! a survey on factual knowledge probing in pre-trained language models
P Youssef, OA Koraş, M Li, J Schlötterer… - arXiv preprint arXiv …, 2023 - arxiv.org
Pre-trained Language Models (PLMs) are trained on vast unlabeled data, rich in world
knowledge. This fact has sparked the interest of the community in quantifying the amount of …
knowledge. This fact has sparked the interest of the community in quantifying the amount of …
Acegpt, localizing large language models in arabic
This paper is devoted to the development of a localized Large Language Model (LLM)
specifically for Arabic, a language imbued with unique cultural characteristics inadequately …
specifically for Arabic, a language imbued with unique cultural characteristics inadequately …
Leaf: Multiple-choice question generation
Testing with quiz questions has proven to be an effective way to assess and improve the
educational process. However, manually creating quizzes is tedious and time-consuming …
educational process. However, manually creating quizzes is tedious and time-consuming …