3 papers
cs.AI2025
GeoFM: Enhancing Geometric Reasoning of MLLMs via Synthetic Data Generation through Formal Language
Yuhao Zhang, Dingxin Hu, Tinghao Yu +2
Multi-modal Large Language Models (MLLMs) have gained significant attention in both academia and industry for their capabilities in handling multi-modal tasks. However, these model…
cs.CL2024
Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze
Yiyang Li, Lei Li, Dingxin Hu +4
Improving factual consistency in abstractive summarization has been a focus of current research. One promising approach is the post-editing method. However, previous works have yet…
cs.CL2022
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization
Yiyang Li, Lei Li, Marina Litvak +4
The issue of factual consistency in abstractive summarization has received extensive attention in recent years, and the evaluation of factual consistency between summary and docume…