8 citations · 21 across the 11 of their papers we have counts for
12 papers
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…
From Phytochemicals to Recipes: Health Indications and Culinary Uses of Herbs and Spices
Rishemjit Kaur, Shuchen Zhang, Bhavika Berwal +3
Herbs and spices each contain about 3000 phytochemicals on average and there is much traditional knowledge on their health benefits. However, there is a lack of systematic study to…
A Bi-level assessment of Twitter in predicting the results of an election: Delhi Assembly Elections 2020
Maneet Singh, S. R. S. Iyengar, Akrati Saxena +1
Elections are the backbone of any democratic country, where voters elect the candidates as their representatives. The emergence of social networking sites has provided a platform f…
A Multi-Opinion Based Method for Quantifying Polarization on Social Networks
Maneet Singh, S. R. S. Iyengar, Rishemjit Kaur
Social media platforms have emerged as a hub for political and social interactions, and analyzing the polarization of opinions has been gaining attention. In this study, we have pr…
What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
Poonam Adhikari, Ritesh Kumar, S. R. S Iyengar +1
Many different technologies are used to detect pests in the crops, such as manual sampling, sensors, and radar. However, these methods have scalability issues as they fail to cover…
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…
Can Self Reported Symptoms Predict Daily COVID-19 Cases?
Parth Patwa, Viswanatha Reddy, Rohan Sukumaran +6
The COVID-19 pandemic has impacted lives and economies across the globe, leading to many deaths. While vaccination is an important intervention, its roll-out is slow and unequal ac…
Cooperative control of multi-agent systems to locate source of an odor
Abhinav Sinha, Rishemjit Kaur, Ritesh Kumar +1
This work targets the problem of odor source localization by multi-agent systems. A hierarchical cooperative control has been put forward to solve the problem of locating source of…