I am working on OCR and ASR error correction for Indic languages. My work also explores multimodal document understanding and cross-lingual reasoning in vision-language models.
I submitted my doctoral thesis, Context-Assisted Post-Text-Recognition Error Correction for Indic Languages, at IIT Jodhpur in July 2026.
Abhishek Bhandari, Gaurav Harit
arXiv preprint arXiv:2609.21595 · 2026
The first systematic evaluation of 3B-32B LLMs for training-free post-OCR correction in Hindi and Marathi. A proposed character n-gram BM25 retrieval (CharBM25) for in-context examples outperforms random selection by up to 4 points of absolute WER.
Abhishek Bhandari, Gaurav Harit
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) · 2026
A correction framework uses the preceding sentence as context to resolve OCR errors in Hindi, Marathi, and Gujarati. The accompanying dataset supports evaluation with and without sentence context.
Abhishek Bhandari, Gaurav Harit
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) · 2026
A character-level correction model combines transcripts from Whisper and MMS through gated fusion, using complementary recognition cues to correct errors in low-resource Rajasthani speech transcription.
Somraj Gautam, AS Penamakuri, Abhishek Bhandari, Gaurav Harit
Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025) · 2025
MMCRICBENCH-3K tests numerical and cross-lingual reasoning on English and Hindi cricket scorecard images. It exposes difficulties in interpreting table structure and transferring visual understanding across scripts.
