6 papers
Beyond Real Weights: Hypercomplex Representations for Stable Quantization
Jawad Ibn Ahad, Maisha Rahman, Amrijit Biswas +5
Multimodal language models (MLLMs) require large parameter capacity to align high-dimensional visual features with linguistic representations, making them computationally heavy and…
LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models
Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers +3
Natural Language Processing (NLP) has transformed the financial industry, enabling advancements in areas such as textual analysis, risk management, and forecasting. Large language…
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…
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…
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…
Beyond Labels: Aligning Large Language Models with Human-like Reasoning
Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif +5
Aligning large language models (LLMs) with a human reasoning approach ensures that LLMs produce morally correct and human-like decisions. Ethical concerns are raised because curren…