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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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相关实验视频

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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通过补充视觉接地来促进忠实多模式的LLM.

Zheren Fu, Zhendong Mao, Lei Zhang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |December 22, 2025
    PubMed
    概括

    多模式大语言模型 (MLLMs) 可能会因为视觉上下文不足和注意力漂移而产生幻觉. 一个新的补充视觉接地 (CVG) 框架提高了MLLM的忠实性,没有额外的数据或工具.

    科学领域:

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 自然语言处理自然语言处理.

    背景情况:

    • 多模式大语言模型 (MLLMs) 擅长视觉语言任务,但患有幻觉,生成与视觉输入不一致的文本.
    • 目前缓解幻觉的方法往往是后期的,数据密集的或计算昂贵的.
    • 导致MLLM幻觉的关键因素包括视觉上下文不足和生成过程中的逐渐文本漂移.

    研究的目的:

    • 解决MLLM中视觉上下文不足和逐渐的文本漂移的核心问题.
    • 引入一个新的框架,补充视觉接地 (CVG),以提高MLLM输出的事实一致性.
    • 开发一种利用MLLM内在架构而没有外部依赖的方法.

    主要方法:

    • 拟议的补充视觉接地 (CVG) 框架将视觉上下文分解为查询相关的补充分支.
    • 在整个自动回归文本生成过程中,CVG确保了持续的视觉接地.
    • 它对比了这些行业的输出分布,以产生基于事实的答案.

    主要成果:

    • CVG在幻觉基准上取得了最先进的表现.
    • 该框架在各种MLLM架构和规模中表现出有效性.
    • 实验证实了CVG通过保持视觉接地来产生忠实的反应的能力.

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    结论:

    • 补充视觉接地 (CVG) 有效地减轻了多模式大语言模型 (MLLMs) 中的幻觉.
    • CVG框架通过改善视觉上下文的利用和防止文本漂移,提供了内在的,高效的解决方案.
    • 这种方法提高了MLLM在视觉语言任务中的可靠性和事实准确性.