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Han-Sen Zhong

2 accepted papers

2024

Empowering and Assessing the Utility of Large Language Models in Crop Science

NeurIPS 2024poster

Large language models (LLMs) have demonstrated remarkable efficacy across knowledge-intensive tasks. Nevertheless, their untapped potential in crop science presents an opportunity for advancement. To narrow this gap, we introduce CROP, which includes a novel instruction tuning dataset specifically d…

Cited by 1SourcePDFScholar
2024

LOCR: Location-Guided Transformer for Optical Character Recognition

EMNLP 2024finding

Academic documents are packed with texts, equations, tables, and figures, requiring comprehensive understanding for accurate Optical Character Recognition (OCR). While end-to-end OCR methods offer improved accuracy over layout-based approaches, they often grapple with significant repetition issues,…