3 papers
cs.CV2026
Rethinking Handwritten Character Recognition
Ranjit Raut, Aarav Subedi, Ashim Shrestha
Non-Latin handwritten character recognition (HCR) remains understudied. Dominant methods consider it as generic image classification, which uses model scale to implicitly learn str…
cs.AI2026
SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning Traces
Ranjit Raut, Aarav Subedi, Sagun Rai +1
Computer science papers rely heavily on diagrams: architecture drawings, system flowcharts, and pipeline schematics that often carry more information than the text around them. The…
cs.AI2026
Deep Reinforcement Learning to Master the Asymmetric Strategy of Baghchal
Ranjit Raut, Aarav Subedi, Sagun Rai +2
Baghchal is a two-player asymmetric board game with Nepali origins where four tigers are to capture goats and twenty goats desire to keep tigers in immobility. Although Baghchal ha…