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Yifeng Yao

2 accepted papers

2026

FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs

ICLR 2026poster

Multimodal Large Language Models (MLLMs) suffer from hallucinations. Existing hallucination evaluation benchmarks are often limited by over-simplified tasks leading to saturated metrics, or insufficient diversity that fails to adequately assess the hallucination extent in state-of-the-art multimodal…

Cited by 0SourceScholar
2025

Selective Visual Prompting in Vision Mamba

AAAI 2025technical

Pre-trained Vision Mamba~(Vim) models have demonstrated exceptional performance across various computer vision tasks in a computationally efficient manner, attributed to their unique design of selective state space models. To further extend their applicability to diverse downstream vision tasks, Vim…