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Hangrui Xu

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Preprint Oct 2026

WorldFact-Bench: Beyond Image-Internal Plausibility to Image-World Consistency

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
#artificial intelligence Conference Jan 2026

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation

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. · 4 citations
Preprint Aug 2026

Beyond Visual Similarity: Entity-Aligned Retrieval for Knowledge-Based Visual Question Answering

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
#artificial intelligence Preprint Aug 2026

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

This work proposes DART-SD (Diamond-topology Aware Retrieval and Tuning for Self-Distillation), a novel framework that shifts the paradigm from global forcing to topology-guided localized correction, and significantly outperforms traditional full-trajectory baselines.

Hangrui Xu, Jiarui Wang, Yang Yang et al. · 0 citations

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