Test-Time Hinting trains a hint generator to prepend contextual guidance to VLM prompts, improving accuracy on natural-image VQA benchmarks with generalization to unseen tasks and models.
IEEE Communications Surveys & Tutorials pp
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UNVERDICTED 3representative citing papers
RED is adapted to graph signals with deep unrolling for parameter estimation, yielding lower MSE than prior graph denoising methods on synthetic and real data.
A DQN-based intelligent eUPF with eBPF passive delay measurement selects lower-latency paths in B5G edge networks than random selection.
citing papers explorer
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Test-Time Hinting for Black-Box Vision-Language Models
Test-Time Hinting trains a hint generator to prepend contextual guidance to VLM prompts, improving accuracy on natural-image VQA benchmarks with generalization to unseen tasks and models.
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Graph Signal Denoising Using Regularization by Denoising and Its Parameter Estimation
RED is adapted to graph signals with deep unrolling for parameter estimation, yielding lower MSE than prior graph denoising methods on synthetic and real data.
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An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks
A DQN-based intelligent eUPF with eBPF passive delay measurement selects lower-latency paths in B5G edge networks than random selection.