2 papers
cs.CL2026
Evaluating In-Context Learning and Retrieval Strategies for Devanagari Post-OCR Correction
Abhishek Bhandari, Gaurav Harit
In-context learning using Large Language Models (LLMs) offers a compelling path to training-free post-OCR correction, yet its effectiveness for Devanagari script remains entirely u…
cs.CV2025
Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs
Somraj Gautam, Abhirama Subramanyam Penamakuri, Abhishek Bhandari +1
We introduce MMCRICBENCH-3K, a benchmark for Visual Question Answering (VQA) on cricket scorecards, designed to evaluate large vision-language models (LVLMs) on complex numerical a…