SeaLLMs--Large Language Models for Southeast Asia
Despite the remarkable achievements of large language models (LLMs) in various tasks,
there remains a linguistic bias that favors high-resource languages, such as English, often at …
there remains a linguistic bias that favors high-resource languages, such as English, often at …
Llama beyond english: An empirical study on language capability transfer
In recent times, substantial advancements have been witnessed in large language models
(LLMs), exemplified by ChatGPT, showcasing remarkable proficiency across a range of …
(LLMs), exemplified by ChatGPT, showcasing remarkable proficiency across a range of …
[HTML][HTML] TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese
NK Corrêa, S Falk, S Fatimah, A Sen… - Machine Learning with …, 2024 - Elsevier
Large language models (LLMs) have significantly advanced natural language processing,
but their progress has yet to be equal across languages. While most LLMs are trained in …
but their progress has yet to be equal across languages. While most LLMs are trained in …
Native vs non-native language prompting: A comparative analysis
MB Kmainasi, R Khan, AE Shahroor, B Bendou… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have shown remarkable abilities in different fields, including
standard Natural Language Processing (NLP) tasks. To elicit knowledge from LLMs …
standard Natural Language Processing (NLP) tasks. To elicit knowledge from LLMs …
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S\'ami Language
S\'ami, an indigenous language group comprising multiple languages, faces digital
marginalization due to the limited availability of data and sophisticated language models …
marginalization due to the limited availability of data and sophisticated language models …
Are emotions conveyed across machine translations? establishing an analytical process for the effectiveness of multilingual sentiment analysis with italian text
Natural language processing (NLP) is being widely used globally for a variety of value-
creation tasks ranging from chat-bots and machine translations to sentiment and topic …
creation tasks ranging from chat-bots and machine translations to sentiment and topic …
Data-Centric AI in the Age of Large Language Models
This position paper proposes a data-centric viewpoint of AI research, focusing on large
language models (LLMs). We start by making the key observation that data is instrumental in …
language models (LLMs). We start by making the key observation that data is instrumental in …
Position Paper: Data-Centric AI in the Age of Large Language Models
This position paper proposes a data-centric viewpoint of AI research, focusing on large
language models (LLMs). We start by making a key observation that data is instrumental in …
language models (LLMs). We start by making a key observation that data is instrumental in …
How Language, Culture, and Geography shape Online Dialogue: Insights from Koo
Koo is a microblogging platform based in India launched in 2020 with the explicit aim of
catering to non-Western communities in their vernacular languages. With a near-complete …
catering to non-Western communities in their vernacular languages. With a near-complete …
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
AE Mekki, M Abdul-Mageed - arXiv preprint arXiv:2410.11006, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated impressive performance on a wide
range of natural language processing (NLP) tasks, primarily through in-context learning …
range of natural language processing (NLP) tasks, primarily through in-context learning …