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LLMs in Handwritten Text Extraction by Deepak Rajbhar is a document available to read on EtoBox.

The document reviews key papers from 2024 to 2025 that explore the integration of large language models (LLMs) with handwritten text recognition (HTR) technologies, highlighting advancements in accuracy and efficiency. It discusses various approaches, including multimodal LLMs, hybrid pipelines, and specialized adaptations for different languages, emphasizing the importance of language models in improving transcription accuracy for historical documents. The findings indicate that while LLMs can significantl

Author
Deepak Rajbhar
Language
EN