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R. Raut

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Preprint Sep 2026

Rethinking Handwritten Character Recognition

GraphemeNet is introduced, a unified multi-script architecture, governed by two orthogonal binary axes, that generalises with only scaffold and decoder topology varying per script, consistently challenging, outperforming published baselines, and establishing structural-prior efficiency as a broadly applicable principle...

R. Raut, Aarav Subedi, Ashim Shrestha · 0 citations

NepKANUN: A RAG-Based Nepali Legal Assistant

An AI-powered legal assistant that is tailored for Nepali legal texts and is built on a fine-tuned large language model is introduced, showing how merging generation and retrieval can effectively democratize access to legal knowledge in Nepal by focusing on customized legal data and incorporating RAG.

Bhabuk Thapa, Prasiddha Koirala, R. Raut et al. · 0 citations
#artificial intelligence Preprint Aug 2026

SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning Traces

This dataset consists of (image, caption, context, question-answer, chain-of-thought) tuples from arXiv computer science papers prepared using layout detection and PDF parsing, with an AI-assisted question-generation step.

R. Raut, Aarav Subedi, Sagun Rai et al. · 0 citations

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