2025
[12] Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers, Sifat Momen, Nabeel Mohammed, and Shafin Rahman, "LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Efficient Financial Natural Language Processing," In IEEE International Conference on Big Data (IEEE BIgData), 2025.
[11] Muhammad Rafsan Kabir, Jawad Ibn Ahad, Robin Krambroeckers, Silvia Ahmed, Mirza Mohammad Lutfe Elahi, Nabeel Mohammed, and Shafin Rahman, "Bidirectional Reasoning Supervision for Multilingual Financial Decision Making," In the Conference on Empirical Methods in Natural Language Processing (EMNLP) Industry Track, 2025. [Link]
[10] Nafew Azim, Abrar Ur Alam, Hasan Bin Omar, Abdullah M. M. Adnan Jami, Jawad Ibn Ahad, Muhammad Rafsan Kabir, Md. Ismail Hossain, Fuad Rahman, Mohammad Ruhul Amin, Shafin Rahman, and Nabeel Mohammed, "AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models," In the Conference on Empirical Methods in Natural Language Processing (EMNLP) Industry Track, 2025. [Link]
[9] Samiul Basir Bhuiyan, Md. Sazzad Hossain Adib, Mohammed Aman Bhuiyan, Muhammad Rafsan Kabir, Moshiur Farazi, Shafin Rahman, and Nabeel Mohammed, “Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining," In ACS/IEEE International Conference on Computer Systems and Applications (IEEE AICCSA), 2025. [Link]
[8] Md. Nasim Ahmed*, Dipta Neogi*, Muhammad Rafsan Kabir*, Shafin Rahman, Sifat Momen, and Nabeel Mohammed, “A Triple Pronged Approach for Ulcerative Colitis Severity Classification Using Multimodal, Meta, and Transformer Based Learning,” In Nature Scientific Reports, 2025. (* equal contribution) [Link]
[7] Muhammad Rafsan Kabir, Rashidul Hassan Borshon, and Riasat Khan, “Federated Learning for Human Activity Recognition: Balancing Privacy, Efficiency, and Accuracy through Innovative Aggregation Techniques,” In Array (Elsevier), 2025. [Link]
[6] Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman, Mohammad Ruhul Amin, Sifat Momen, Nabeel Mohammed, and Shafin Rahman, “LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval,” In International Joint Conference on Neural Networks (IJCNN), 2025. [Link]
[5] Gazi Hasan Al Masud, Rejaul Islam Shanto, Ishmam Sakin, and Muhammad Rafsan Kabir, “Effective Depression Detection and Interpretation: Integrating Machine Learning, Deep Learning, Language Models, and Explainable AI,” In Array (Elsevier), 2025. (Supervisor) [Link]
2024
[4] Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, and Shafin Rahman, “Beyond Labels: Aligning Large Language Models with Human-Like Reasoning,” In International Conference on Pattern Recognition (ICPR), 2024. [Link]
[3] Muhammad Rafsan Kabir, Md. Mohibur Rahman Nabil, and Mohammad Ashrafuzzaman Khan, “BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques,” In International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), 2024. [Link]
[2] Muhammad Rafsan Kabir, Rashidul Hassan Borshon, Mahiv Khan Wasi, Rafeed Mohammad Sultan, Ahmad Hossain, and Riasat Khan, “Skin Cancer Detection using Lightweight Model Souping and Ensembling Knowledge Distillation for Memory-constrained Devices,” In Intelligence-Based Medicine (Elsevier), 2024. [Link]
[1] Muhammad Rafsan Kabir and Md. Samin Yasar, “Leveraging Machine Learning Algorithms for Improved Road Safety,” In IEEE International Conference on Advanced Systems and Emergent Technologies, 2024. [Link]