Advances in image generation have made visual authenticity increasingly difficult to assess. Although image forensics now examines both generation artifacts and higher-level visual inconsistencies, a plausible image can still contradict real-world facts or rules. We introduce WorldFact-Bench to evaluate image-world con...
Zhuo Chen, Zheng-Xian Wu, Yu Yu et al.· 0 citations
Large Language Models (LLMs) serving as long-term dialogue agents require memory systems that support reliable reasoning over extended interactions. However, existing Retrieval-Augmented Generation (RAG) frameworks typically treat memory as passive storage, making it difficult to distinguish source-attributed beliefs f...
Zi-Rui Liao, Zheng-Xian Wu, Zhuo Chen et al.· 0 citations
R3G, a modular Reasoning-Retrieval-Reranking framework, first produces a brief reasoning plan that specifies the required visual cues, then adopts a two-stage strategy, with coarse retrieval followed by fine-grained reranking, to select evidence images.
Zhuo Chen, Zhengxian Wu, Zi-Rui Liao et al.· IEEE International Conferenc...· 4 citations
KBMR is proposed, the first MLLM-based embedding retriever tailored for KB-VQA, and an MLLM-based semantic discriminator that generates continuous entity-consistency weights is introduced to tackle the challenge of noisy supervision in Wikipedia-scale retrieval.
Hang-Rui Xu, Zheng-Xian Wu, Yu Yu et al.· 0 citations
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