3 citations · 5 across the 9 of their papers we have counts for
11 papers · 1 filter
SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
Usman Naseem, Robert Geislinger, Juan Ren +31
We present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances. Each data instance is multi-labe…
LLM Compression: How Far Can We Go in Balancing Size and Performance?
Sahil Sk, Debasish Dhal, Sonal Khosla +6
Quantization is an essential and popular technique for improving the accessibility of large language models (LLMs) by reducing memory usage and computational costs while maintainin…
Building pre-train LLM Dataset for the INDIC Languages: a case study on Hindi
Shantipriya Parida, Shakshi Panwar, Kusum Lata +2
Large language models (LLMs) demonstrated transformative capabilities in many applications that require automatically generating responses based on human instruction. However, the…
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language
Ronny Paul, Himanshu Buckchash, Shantipriya Parida +1
Sámi, an indigenous language group comprising multiple languages, faces digital marginalization due to the limited availability of data and sophisticated language models designed f…
Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set
Guneet Singh Kohli, Shantipriya Parida, Sambit Sekhar +6
Building LLMs for languages other than English is in great demand due to the unavailability and performance of multilingual LLMs, such as understanding the local context. The probl…
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +7
This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually translating 6,022 Engli…
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
Amit Kumar, Shantipriya Parida, Ajay Pratap +1
The use of subword embedding has proved to be a major innovation in Neural Machine Translation (NMT). It helps NMT to learn better context vectors for Low Resource Languages (LRLs)…
Silo NLP's Participation at WAT2022
Shantipriya Parida, Subhadarshi Panda, Stig-Arne Grönroos +2
This paper provides the system description of "Silo NLP's" submission to the Workshop on Asian Translation (WAT2022). We have participated in the Indic Multimodal tasks (English->H…
Universal Dependency Treebank for Odia Language
Shantipriya Parida, Kalyanamalini Sahoo, Atul Kr. Ojha +3
This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language. The treebank contains approx. 1082 tokens (100 sentences) in…
Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation
Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud +7
Multi-modal Machine Translation (MMT) enables the use of visual information to enhance the quality of translations. The visual information can serve as a valuable piece of context…
Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation
Shantipriya Parida, Ondřej Bojar, Satya Ranjan Dash
Visual Genome is a dataset connecting structured image information with English language. We present ``Hindi Visual Genome'', a multimodal dataset consisting of text and images sui…