Tag: Vision-Language Models
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SketchVLM: Advanced Vision-Language Model for Image Annotation
Discover SketchVLM, a training-free vision-language model that annotates images to enhance visual reasoning and user interaction.
DO-Bench: Benchmark to Diagnose Object Hallucination in VLMs
DO-Bench provides a novel benchmark and metrics to diagnose object hallucination causes in vision-language models, improving AI reliability and performance...
Evaluating Vision-Language Models for Astronomy Tasks
Discover how vision-language models perform in observational astronomy across imaging, spectroscopy, and photometry with the AstroVLBench benchmark.
AVES-DPO: Reducing Hallucinations in LVLMs with Self-Correction
Discover AVES-DPO, a new self-corrected preference learning method that effectively reduces hallucinations in Large Vision-Language Models (LVLMs).
FAIR_XAI: Enhancing Fairness in AI for Wellbeing Assessment
Discover how FAIR_XAI improves fairness and explainability in multimodal AI models for accurate, unbiased mental health and wellbeing assessments.