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cs.CV2026

MemeMind: Reference-Guided Trace Construction for Offline Context Optimization

Run Yang, Weihang Wang, Boheng Sheng +7

Offline context optimization improves an agent by revising its instructions and examples while keeping the model frozen. This approach learns from rollouts on an adaptation set, bu…

cs.CV2025

Improving VQA Reliability: A Dual-Assessment Approach with Self-Reflection and Cross-Model Verification

Xixian Wu, Yang Ou, Pengchao Tian +4

Vision-language models (VLMs) have demonstrated significant potential in Visual Question Answering (VQA). However, the susceptibility of VLMs to hallucinations can lead to overconf…

cs.CV2025

Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models

Weihang Wang, Xinhao Li, Ziyue Wang +5

Object hallucination in Large Vision-Language Models (LVLMs) significantly impedes their real-world applicability. As the primary component for accurately interpreting visual infor…

cs.CV2025

TextFlux: An OCR-Free DiT Model for High-Fidelity Multilingual Scene Text Synthesis

Yu Xie, Jielei Zhang, Pengyu Chen +5

Diffusion-based scene text synthesis has progressed rapidly, yet existing methods commonly rely on additional visual conditioning modules and require large-scale annotated data to…

cs.CV2025

MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation

Weihang Wang, Duolin Sun, Jielei Zhang +1

Few-shot Font Generation (FFG) aims to create new font libraries using limited reference glyphs, with crucial applications in digital accessibility and equity for low-resource lang…