Tag: machine learning
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Reduce Object Hallucinations in LVLMs with AIR Method
Learn how Attention Imbalance Rectification (AIR) reduces object hallucinations in Large Vision-Language Models, improving accuracy by up to 35%.
Mitigating Contextual Exposure Bias in Speech-LLMs
Discover effective strategies to reduce contextual exposure bias in Speech-LLMs, enhancing ASR accuracy and robustness in noisy real-world environments.
Key Challenges in Iterative Generative Optimization with LLMs
Explore the main challenges and design choices in iterative generative optimization using LLMs to improve self-learning agents effectively.
Kirchhoff-Inspired Neural Networks for Advanced AI Perception
Discover Kirchhoff-Inspired Neural Networks (KINN) that enhance AI perception by integrating physics principles for superior learning and interpretability.
Fixing Multi-View Hallucination in Vision-Language Models
Discover how Reference Shift Contrastive Decoding improves large vision-language models by tackling multi-view hallucination for better accuracy.