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cs.CL2026
Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing
Minglai Yang, Xinyan Velocity Yu, Pengyuan Li +22
Document parsing and recognition are fundamental capabilities for vision-language models (VLMs) and document processing systems. However, existing Optical Character Recognition (OC…
cs.CL2026
Refining and Reusing Annotation Guidelines for LLM Annotation
Kon Woo Kim, Jin-Dong Kim, Akiko Aizawa
While Large Language Models (LLMs) demonstrate remarkable performance on zero-shot annotation tasks, they often struggle with the specialized conventions of gold-standard benchmark…
cs.CL2025
Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study
Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim +2
This study investigates how existing annotation guidelines can be repurposed to instruct large language model (LLM) annotators for text annotation tasks. Traditional guidelines are…