Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
NeurIPSSpotlight2025
TL;DR
Handwritten Mathematical Expression Recognition (HMER) remains a persistent challenge in Optical Character Recognition (OCR) due to the inherent freedom of symbol layouts and variability in handwritin…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
vision-language language model fine-tuning
← All NeurIPS 2025 Spotlight papers · Browse the whole archive