Tag: multimodal AI
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Hallucination-Free Edits in Large Vision-Language Models
Discover a novel framework for dynamic hallucination detection and efficient edits in large vision-language models, improving accuracy with minimal cost.
ATP-Bench: Benchmark for Agentic Tool Planning in MLLMs
Discover ATP-Bench, a benchmark for agentic tool planning in multimodal large language models enabling coherent interleaved text-image generation.
Xuanwu VL-2B: Industrial-Grade Multimodal AI for Content
Discover Xuanwu VL-2B, an industrial-grade multimodal AI model enhancing content moderation with fine-grained perception and robust adversarial handling.
Enhancing Safety in Vision-Language Models with CARE Framework
Discover how the CARE framework uses causal discovery and dual-modal projection to diagnose and repair unsafe channels in vision-language models.
Structured Sequential Visual Chain-of-Thought Reasoning
Discover Structured Sequential Visual Chain-of-Thought (SSV-CoT) reasoning, enhancing AI's visual cognition with goal-driven, sequential image analysis.