activity
20242026
collaborators

5 papers

cs.IR2026

Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model

Shawqi Al-Maliki, Ammar Gharaibeh, Mohamed Rahouti +4

Large Language Models (LLMs) have revolutionized the field of natural language processing. However, they exhibit some limitations, including a lack of reliability and transparency:…

cs.LG2025

Dynamic Temperature Scheduler for Knowledge Distillation

Sibgat Ul Islam, Jawad Ibn Ahad, Fuad Rahman +3

Knowledge Distillation (KD) trains a smaller student model using a large, pre-trained teacher model, with temperature as a key hyperparameter controlling the softness of output pro…

cs.IR2025

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval

Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman +4

Natural Language Processing (NLP) and computational linguistic techniques are increasingly being applied across various domains, yet their use in legal and regulatory tasks remains…

cs.CL2024

BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization

Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha +4

This study focuses on recognizing Bangladeshi dialects and converting diverse Bengali accents into standardized formal Bengali speech. Dialects, often referred to as regional langu…

cs.CL2024

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis

Jawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad +4

This study investigates the automation of meta-analysis in scientific documents using large language models (LLMs). Meta-analysis is a robust statistical method that synthesizes th…