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cs.CV2025
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
Xin Dong, Shichao Dong, Jin Wang +7
Hallucinations in large vision-language models (LVLMs) pose significant challenges for real-world applications, as LVLMs may generate responses that appear plausible yet remain inc…
cs.CV2024★ 1 cited
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model
Li Zhou, Xu Yuan, Zenghui Sun +2
Large Multimodal Models (LMMs) have achieved significant progress by extending large language models. Building on this progress, the latest developments in LMMs demonstrate the abi…