Chao Bi — accepted AI-conference papers

2026

ActiveScope: Actively Seeking and Correcting Perception for MLLMs

Yajing Wang, Chao Bi, Junshu Sun, Shufan Shen, Zhaobo Qi, Shuhui Wang +1

ICML 2026poster

Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in vision-language understanding, yet they still struggle with fine-grained perception in high-resolution images. While existing training-free methods typically rely on attention-based localization or coarse-to-fine s…

Cited by 0 Source ↗Scholar ↗

2026

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation

Tiantian Dang, Chao Bi, Shufan Shen, Jinzhe Liu, Qingming Huang, Shuhui Wang

CVPR 2026

Despite the significant advancements in Large Vision-Language Models (LVLMs), their tendency to generate hallucinations undermines reliability and restricts broader practical deployment. Among the hallucination mitigation methods, feature steering emerges as a promising approach that reduces erroneo

Cited by 0 Source ↗code ↗Scholar ↗