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Hybrid Retrieval-Augmented Framework for Low-Resource Bangla Visual Question Answering

A hybrid retrieval-augmented approach to visual question answering for low-resource Bangla — submitted to Nature Scientific Reports.

Md Mahmudul HoqueNature Scientific Reports

Submitted to Nature Scientific Reports. Under peer review — not yet published.

Focus

Visual question answering is well studied in high-resource languages and thin for Bangla. This paper studies a hybrid retrieval-augmented (RAG) framework that couples vision with language models under low-resource constraints.

Topics

  • Visual question answering (VQA)
  • Bengali / Bangla NLP
  • Retrieval-augmented generation
  • Large language models

Authors and venue are as listed in the Lab record. Claims beyond the submission record wait on peer review and publication.