SDSV: Angle Measurement for Supervised Classification. - Md. Kowsher; Imran Hossen; Anik Tahabilder; Nusrat Jahan Prottasha; Md. Murad Hossain Sarker; Nazmul Ahasan; Md Imdadul Hoque (ACLING, 2021)

Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding. - Md. Kowsher; Abdullah As Sami; Nusrat Jahan Prottasha; Mohammad Shamsul Arefin; Pranab Kumar Dhar; Takeshi Koshiba (IEEE Access, 2022)

Impact Learning: A Learning Method from Features Impact and Competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (CoRR, 2022)

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. - Nusrat Jahan Prottasha; Abdullah As Sami; Md. Kowsher; Saydul Akbar Murad; Anupam Kumar Bairagi; Mehedi Masud; Mohammed Baz (Sensors, 2022)

Impact learning: A learning method from feature's impact and competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (J. Comput. Sci., 2023)

L-Tuning: Synchronized Label Tuning for Prompt and Prefix in LLMS. - Md. Kowsher; Md. Shohanur Islam Sobuj; Asif Mahmud; Nusrat Jahan Prottasha; Prakash Bhat (Tiny Papers @ ICLR, 2024)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. - Md. Kowsher; Ritesh Panditi; Nusrat Jahan Prottasha; Prakash Bhat; Anupam Kumar Bairagi; Mohammad Shamsul Arefin (NLDB (2), 2024)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. - Nusrat Jahan Prottasha; Asif Mahmud; Md. Shohanur Islam Sobuj; Prakash Bhat; Md. Kowsher; Niloofar Yousefi 001; Özlem Özmen Garibay (CoRR, 2024)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. - Md. Kowsher; Md. Shohanur Islam Sobuj; Nusrat Jahan Prottasha; E. Alejandro Alanis; Özlem Özmen Garibay; Niloofar Yousefi 001 (CoRR, 2024)

SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; MD. Khairul Bashar Bhuiyan; Md Saib; Nick Rahimi; Nusrat Jahan Prottasha; Anupam Kumar Bairagi (Future Gener. Comput. Syst., 2024)

Predicting Through Generation: Why Generation Is Better for Prediction. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat; Chun-Nam Yu; Mojtaba Soltanalian; Ivan Garibay; Ozlem O. Garibay; Chen Chen; Niloofar Yousefi 001 (ACL (1), 2025)

Propulsion: Steering LLM with Tiny Fine-Tuning. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat (COLING, 2025)

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. - Mohammad Jahid Ibna Basher; Md. Kowsher; Md Saiful Islam; Rabindra Nath Nandi; Nusrat Jahan Prottasha; Mehadi Hasan Menon; Tareq Al Muntasir; Shammur Absar Chowdhury; Firoj Alam; Niloofar Yousefi 001; Ozlem O. Garibay (NAACL (Findings), 2025)

Does Self-Attention Need Separate Weights in Transformers? - Md. Kowsher; Nusrat Jahan Prottasha; Chun-Nam Yu; Ozlem O. Garibay; Niloofar Yousefi 001 (NAACL (Industry Track), 2025)

User Profile with Large Language Models: Construction, Updating, and Benchmarking. - Nusrat Jahan Prottasha; Md. Kowsher; Hafijur Raman; Israt Jahan Anny; Prakash Bhat; Ivan Garibay; Ozlem O. Garibay (CoRR, 2025)

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models. - Nusrat Jahan Prottasha; Upama Roy Chowdhury; Shetu Mohanto; Tasfia Nuzhat; Abdullah As Sami; Md Shamol Ali; Md. Shohanur Islam Sobuj; Hafijur Raman; Md. Kowsher; Ozlem O. Garibay (CoRR, 2025)

How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. - Md. Kowsher; Nusrat Jahan Prottasha; Shiyun Xu; Shetu Mohanto; Chen Chen; Ozlem O. Garibay; Niloofar Yousefi 001 (CoRR, 2025)