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cs.CV2023★ 1 cited
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites
Lei Wang, Jiabang He, Shenshen Li +2
Large language models (LLMs) have shown remarkable performance in natural language processing (NLP) tasks. To comprehend and execute diverse human instructions over image data, ins…
cs.CV2023
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models
Jiabang He, Yi Hu, Lei Wang +4
Numerous pre-training techniques for visual document understanding (VDU) have recently shown substantial improvements in performance across a wide range of document tasks. However,…
cs.CV2022
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
Lei Wang, Jiabang He, Xing Xu +2
Alignment between image and text has shown promising improvements on patch-level pre-trained document image models. However, investigating more effective or finer-grained alignment…