Md. Tanzib Hosain

Orcid: 0009-0007-8723-7922

According to our database1, Md. Tanzib Hosain authored at least 16 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Agentic artificial intelligence is the future of cancer detection and diagnosis.
Array, 2026

2025
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team.
CoRR, June, 2025

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation.
CoRR, May, 2025

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models.
CoRR, May, 2025

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning.
CoRR, May, 2025

Intrinsic Linguistic Bias in Formal vs. Informal Bengali Pragmatics with Progressive Context Inflation.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring.
Proceedings of the International Conference on Machine Learning and Applications, 2025

Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model.
Proceedings of the Human-Computer Interaction, 2025

B-REASO: A Multi-Level Multi-Faceted Bengali Evaluation Suite for Foundation Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024
Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environment.
IEEE Open J. Comput. Soc., 2024

Explainable AI approaches in deep learning: Advancements, applications and challenges.
Comput. Electr. Eng., 2024

Synchronizing Object Detection: Applications, Advancements and Existing Challenges.
IEEE Access, 2024

IMVB7t: A Multi-Modal Model for Food Preferences based on Artificially Produced Traits.
Proceedings of the 3rd International Conference on Computing Advancements, 2024

2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability.
CoRR, 2023

Toward Trustworthy Metaverse: Advancements and Challenges.
IEEE Access, 2023


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