Add and adapt natural language cues for subsequent CLIP generalization
Large pre-trained vision and language models, such as CLIP, have shown promising generalization ability, but may struggle in specialized domains ...
Tag: cues
Direct alignment of large-scale language models by distillation of contrastive and self-rewarding cues
Aligning large language models (LLMs) to human expectations without human-annotated preference data is a major problem. In this paper, we ...
Understanding system cues and the power of zero-shot vs. low-shot cues in artificial intelligence (AI)
Within the field of artificial intelligence (ai), system prompts and the notions of zero-shot and few-shot prompts have completely changed ...
UNC-Chapel Hill Researchers Introduce Contrastive Region Guidance (CRG): A Training-Free Guidance AI Method That Enables Open Source VLM Vision and Language Models to Respond to Visual Cues
Recent advances in large visual language models (VLMs) have shown promise in addressing multimodal tasks by combining the reasoning capabilities ...
Improving language models with analog cues to improve reasoning
In recent years, language models have demonstrated remarkable proficiency in understanding and generating human-like texts. However, despite their impressive linguistic ...
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