8 citations · 21 across the 11 of their papers we have counts for
6 papers · 1 filter
SinLlama -- A Large Language Model for Sinhala
H. W. K. Aravinda, Rashad Sirajudeen, Samith Karunathilake +3
Low-resource languages such as Sinhala are often overlooked by open-source Large Language Models (LLMs). In this research, we extend an existing multilingual LLM (Llama-3-8B) to be…
Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
Rishemjit Kaur, Arshdeep Singh Bhankhar, Jashanpreet Singh Salh +6
Enabling farmers to access accurate agriculture-related information in their native languages in a timely manner is crucial for the success of the agriculture field. Publicly avail…
Unsupervised Bilingual Lexicon Induction for Low Resource Languages
Charitha Rathnayake, P. R. S. Thilakarathna, Uthpala Nethmini +2
Bilingual lexicons play a crucial role in various Natural Language Processing tasks. However, many low-resource languages (LRLs) do not have such lexicons, and due to the same reas…
Large Language Models for Ingredient Substitution in Food Recipes using Supervised Fine-tuning and Direct Preference Optimization
Thevin Senath, Kumuthu Athukorala, Ransika Costa +2
In this paper, we address the challenge of recipe personalization through ingredient substitution. We make use of Large Language Models (LLMs) to build an ingredient substitution s…
Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages
Maneet Singh, Rishemjit Kaur, Akiko Matsuo +2
Moral psychology is a domain that deals with moral identity, appraisals and emotions. Previous work has primarily focused on moral development and the associated role of culture. K…
Neural Machine Translation for Low-Resource Languages: A Survey
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli +3
Neural Machine Translation (NMT) has seen a tremendous spurt of growth in less than ten years, and has already entered a mature phase. While considered as the most widely used solu…