Ikuti
Md Farhan Ishmam
Md Farhan Ishmam
Lecturer (CSE), Islamic University of Technology (IUT)
Email yang diverifikasi di iut-dhaka.edu - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
From image to language: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities
MF Ishmam, MSH Shovon, MF Mridha, N Dey
Information Fusion, 102270, 2024
232024
Penta-NLP at EXIST 2024 Task 1–3: sexism identification, source intention, sexism categorization in tweets
FT Shifat, F Haider, M Sourove, DD Barua, MF Ishmam, M Fahim, ...
Working Notes of CLEF, 2024
32024
FourierKAN outperforms MLP on Text Classification Head Fine-tuning
AA Imran, MF Ishmam
NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 2024
2*2024
Penta ML at EXIST 2024: tagging sexism in online multimodal content with attention-enhanced modal context
DD Barua, M Sourove, F Haider, FT Shifat, MF Ishmam, M Fahim, ...
Working Notes of CLEF, 2024
22024
BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis
S Alam, MF Ishmam, NH Alvee, MS Siddique, MA Hossain, ARM Kamal
Proceedings of the First Workshop on Language Models for Low-Resource …, 2025
12025
Visual Robustness Benchmark for Visual Question Answering (VQA)
MF Ishmam, I Tashdeed, TA Saadat, MH Ashmafee, ARM Kamal, ...
arXiv preprint arXiv:2407.03386, 2024
12024
BanglaTLit: A Benchmark Dataset for Back-Transliteration of Romanized Bangla
M Fahim, F Shifat, F Haider, D Barua, M Sourove, M Ishmam, M Bhuiyan
Findings of the Association for Computational Linguistics: EMNLP 2024, 14656 …, 2024
2024
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
DD Barua, MSUR Sourove, MF Ishmam, F Haider, FT Shifat, M Fahim, ...
arXiv preprint arXiv:2410.14991, 2024
2024
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla
F Haider, FT Shifat, MF Ishmam, DD Barua, MSUR Sourove, M Fahim, ...
arXiv preprint arXiv:2410.13281, 2024
2024
Contextual Breach: Assessing the Robustness of Transformer-based QA Models
A Saadat, NI Asad, MF Ishmam
arXiv preprint arXiv:2409.10997, 2024
2024
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