Author

Shefali Saxena

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Open access 2026

FMFT: A Memory-Augmented Multi-Feature Fusion Transformer Enhanced With Retrieval Augmented Graph-Based Few-Shot Learning

This work proposes a Few-Shot Memory Fusion Transformer (FMFT), a memory-augmented, multi-feature-fusion transformer enhanced with the Retrieval-Augmented Graph (RAG) and Few-Shot learning that significantly outperforms competitive baselines in both full-resource and few-shot scenarios.

S. Chauhan, Shefali Saxena, Shweta V. Jain et al. · IEEE Access · 0 citations