Author

Amin Dada

2 papers indexed here

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#machine learning Jul 2025

Automatic Fine-grained Segmentation-assisted Report Generation

ASaRG proposes to fuse intermediate features and fine-grained segmentation maps created by specialist radiological models into LLaVA's multi-modal projection layer via simple concatenation, an extension of the popular LLaVA architecture that aims to tackle both of these problems.

F. Jonske, C. Seibold, Osman Alperen Koras et al. · arXiv.org · 1 citation

#machine learning Preprint Feb 2026

Modular Expert Merging for Biomedical Retrieval

Synthesize-Train-Merge (STM) is introduced, a modular framework that synthesizes hard negatives with a top-tier LLM and fine-tunes domain-specialized experts via LoRA before merging them, without continual pre-training, to maximize expert quality.

S. Khattab, Jean-Philippe Corbeil, Osman Alperen Çinar-Koras et al. · 1 citation