28 citations · 38 across the 19 of their papers we have counts for
19 papers
Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text
Nisar Hussain, Amna Qasim, Gull Mehak +3
The use of derogatory terms in languages that employ code mixing, such as Roman Urdu, presents challenges for Natural Language Processing systems due to unstated grammar, inconsist…
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
Anvi Alex Eponon, Moein Shahiki-Tash, Ildar Batyrshin +3
This study presents a question-based knowledge encoding approach that improves retrieval-augmented generation (RAG) systems without requiring fine-tuning or traditional chunking. W…
Multilingual Hate Speech Detection in Social Media Using Translation-Based Approaches with Large Language Models
Muhammad Usman, Muhammad Ahmad, M. Shahiki Tash +3
Social media platforms are critical spaces for public discourse, shaping opinions and community dynamics, yet their widespread use has amplified harmful content, particularly hate…
EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter)
Fida Ullah, Muhammad Ahmad, Muhammad Tayyab Zamir +4
Named Entity Recognition (NER) plays a pivotal role in various Natural Language Processing (NLP) tasks by identifying and classifying named entities (NEs) from unstructured data in…
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny
Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov +1
Identifying misogyny using artificial intelligence is a form of combating online toxicity against women. However, the subjective nature of interpreting misogyny poses a significant…
Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
Jesús Armenta-Segura, Grigori Sidorov
In the japanese anime industry, predicting whether an upcoming product will be popular is crucial. This paper presents a dataset and methods on predicting anime popularity using a…