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cs.CV2026
Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
Xinrong Chen, Xu Chu, Yingmin Qiu +8
Large Vision-Language Models (LVLMs) can reason from image-text inputs and perform well in various multimodal tasks. Despite this success, they are affected by language priors and…
cs.CV2025
PP-DocBee2: Improved Baselines with Efficient Data for Multimodal Document Understanding
Kui Huang, Xinrong Chen, Wenyu Lv +3
This report introduces PP-DocBee2, an advanced version of the PP-DocBee, designed to enhance multimodal document understanding. Built on a large multimodal model architecture, PP-D…
cs.CV2025
Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information
Xu Chu, Xinrong Chen, Guanyu Wang +5
Inference time scaling drives extended reasoning to enhance the performance of Vision-Language Models (VLMs), thus forming powerful Vision-Language Reasoning Models (VLRMs). Howeve…