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Related papers: Hebbian control of fixations in a dyslexic reader

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Multimodal large language models (MLLMs) have become a key interface for visual reasoning and grounded question answering, yet they remain vulnerable to visual hallucinations, where generated responses contradict image content or mention…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Fanpu Cao , Xin Zou , Xuming Hu , Hui Xiong

The flickering of the light of fluorescent lamps (FL), whose basic frequency, 100 Hz, is close to that of the micro-saccadic (the eye-muscles' tremor component) eye movement, is a severe problem for autists (autistic humans), a problem for…

Medical Physics · Physics 2010-06-09 Emanuel Gluskin , Yehuda Ben-Shimol , Frangiskos V. Topalis , Nikolas Bisketzis

Eye movements during fixation of a stationary target prevent the adaptation of the photoreceptors to continuous illumination and inhibit fading of the image. These random, involuntary, small, movements are restricted at long time scales so…

Statistical Mechanics · Physics 2009-11-10 Jin-Rong Liang , Shay Moshel , Ari Z. Zivotofsky , Avi Caspi , Ralf Engbert , Reinhold Kliegl , Shlomo Havlin

Hallucinations in Large Vision-Language Models (LVLMs) significantly undermine their reliability, motivating researchers to explore the causes of hallucination. However, most studies primarily focus on the language aspect rather than the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Zhangqi Jiang , Junkai Chen , Beier Zhu , Tingjin Luo , Yankun Shen , Xu Yang

In reading tasks drift can move fixations from one word to another or even another line, invalidating the eye tracking recording. Manual correction is time-consuming and subjective, while automated correction is fast yet limited in…

Human-Computer Interaction · Computer Science 2025-01-14 Naser Al Madi , Brett Torra , Yixin Li , Najam Tariq

Large Vision-Language Models (LVLMs) are an extension of Large Language Models (LLMs) that facilitate processing both image and text inputs, expanding AI capabilities. However, LVLMs struggle with object hallucinations due to their reliance…

Computation and Language · Computer Science 2024-08-12 Avshalom Manevich , Reut Tsarfaty

Vibration is an efficient way of conveying information from a device to its user, and it is increasingly used for wrist or finger-worn devices such as smart rings. Unexpected vibrations or sounds from the environment may disrupt the…

Human-Computer Interaction · Computer Science 2020-03-23 Christopher L. Asplund , Takashi Obana , Parag Bhatnagar , Xun Quan Koh , Simon T. Perrault

Highlighted text in the Internet (i.e. Hypertext) is predominantly blue and underlined. The percept of these hypertext characteristics were heavily questioned by applied research and empirical tests resulted in inconclusive results. The…

Human-Computer Interaction · Computer Science 2016-01-14 Benjamin Gagl

Time delays between lensed multiple images have been known to provide an interesting probe of the Hubble constant, but such application is often limited by degeneracies with the shape of lens potentials. We propose a new statistical…

Astrophysics · Physics 2008-11-26 Masamune Oguri

To adapt their behaviour in changing environments, cells sense concentrations by binding external ligands to their receptors. However, incorrect ligands may bind nonspecifically to receptors, and when their concentration is large, this…

Molecular Networks · Quantitative Biology 2015-07-23 Thierry Mora

Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in reading have attracted increasing attention across fields,…

Computation and Language · Computer Science 2023-05-19 Shuwen Deng , David R. Reich , Paul Prasse , Patrick Haller , Tobias Scheffer , Lena A. Jäger

Continual learning is the problem of sequentially learning new tasks or knowledge while protecting previously acquired knowledge. However, catastrophic forgetting poses a grand challenge for neural networks performing such learning process.…

Machine Learning · Computer Science 2020-07-01 Vithursan Thangarasa , Thomas Miconi , Graham W. Taylor

The study of light lensed by cosmic matter has yielded much information about astrophysical questions. Observations are explained using geometrical optics following a ray-based description of light. After deflection the lensed light…

Instrumentation and Methods for Astrophysics · Physics 2023-06-22 Valeria Rodriguez-Fajardo , Thao P. Nguyen , Kiyan S. Hocek , Jacob M. Freedman , Enrique J. Galvez

Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities in understanding and describing visual content, achieving state-of-the-art performance across various vision-language tasks. However, these models often generate…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Kazi Hasan Ibn Arif , Sajib Acharjee Dip , Khizar Hussain , Lang Zhang , Chris Thomas

Large Vision-Language Models (LVLMs) bridge the gap between visual and linguistic modalities, demonstrating strong potential across a variety of domains. However, despite significant progress, LVLMs still suffer from severe hallucination…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Ruiqi Ma , Yu Yan , Chunhong Zhang , Minghao Yin , XinChao Liu , Zhihong Jin , Zheng Hu

Recent advancements in large vision-language models (LVLM) have significantly enhanced their ability to comprehend visual inputs alongside natural language. However, a major challenge in their real-world application is hallucination, where…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Po-Hsuan Huang , Jeng-Lin Li , Chin-Po Chen , Ming-Ching Chang , Wei-Chao Chen

Recent advancements in multimodal large language models (MLLMs) have significantly improved performance in visual question answering. However, they often suffer from hallucinations. In this work, hallucinations are categorized into two main…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Feilong Tang , Chengzhi Liu , Zhongxing Xu , Ming Hu , Zelin Peng , Zhiwei Yang , Jionglong Su , Minquan Lin , Yifan Peng , Xuelian Cheng , Imran Razzak , Zongyuan Ge

Despite the rapid progress of multimodal large language models (MLLMs), they have largely overlooked the importance of visual processing. In a simple yet revealing experiment, we interestingly find that language-only models, when provided…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Yuting Li , Lai Wei , Kaipeng Zheng , Jingyuan Huang , Guilin Li , Bo Wang , Linghe Kong , Lichao Sun , Weiran Huang

The importance of an element in a visual stimulus is commonly associated with the fixations during a free-viewing task. We argue that fixations are not always correlated with attention or awareness of visual objects. We suggest to filter…

Neurons and Cognition · Quantitative Biology 2017-12-07 Xi Wang , Marc Alexa

Much has been learned about plasticity of biological synapses from empirical studies. Hebbian plasticity is driven by correlated activity of presynaptic and postsynaptic neurons. Synapses that converge onto the same neuron often behave as…

Neural and Evolutionary Computing · Computer Science 2017-04-04 H. Sebastian Seung , Jonathan Zung