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Large language models (LLMs) frequently generate hallucinations -- plausible but factually incorrect outputs -- undermining their reliability. While prior work has examined hallucinations from macroscopic perspectives such as training data…

Artificial Intelligence · Computer Science 2025-12-03 Cheng Gao , Huimin Chen , Chaojun Xiao , Zhiyi Chen , Zhiyuan Liu , Maosong Sun

Hallucination is a long-standing problem that has been actively investigated in Vision-Language Models (VLMs). Existing research commonly attributes hallucinations to technical limitations or sycophancy bias, where the latter means the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Xiangrui Liu , Man Luo , Agneet Chatterjee , Hua Wei , Chitta Baral , Yezhou Yang

With fast developments in computational power and algorithms, deep learning has made breakthroughs and been applied in many fields. However, generalization remains to be a critical challenge, and the limited generalization capability…

It is generally agreed that decoherence theory is, if not a complete answer, at least a great step forward towards a solution of the quantum measurement problem. It is shown here however that in the cases in which a sentient being is…

Quantum Physics · Physics 2009-11-10 Bernard d'Espagnat

A resolution of the quantum measurement problem(s) using the consistent histories interpretation yields in a rather natural way a restriction on what an observer can know about a quantum system, one that is also consistent with some results…

Quantum Physics · Physics 2013-11-13 Robert B. Griffiths

For many quantum models an apparent non-Hermiticity of observables corresponds to their hidden Hermiticity in another, physical Hilbert space. For these models we show that the existence of observables which are manifestly time-dependent…

Quantum Physics · Physics 2008-10-08 Miloslav Znojil

In spite of years of research, the mechanisms that underlie the development of schizophrenia, as well as its relapse, symptomatology, and treatment, continue to be a mystery. The absence of appropriate analytic tools to deal with the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Vigneshwaran Shankaran , Bhaskaran V

The ``Hard Problem" of consciousness refers to a long-standing enigma about how qualia emerge from physical processes in the brain. Building on insights from the development of non-Euclidean geometry, this paper seeks to present a…

General Physics · Physics 2025-02-11 Rongwei Yang

Experience of time is one of the primordial human experiences which is deeply tied to human consciousness. But despite this intimate relation of time with human conscious experience, time has proved to be very elusive. Particularly in…

Neurons and Cognition · Quantitative Biology 2017-06-16 Rukhsan Ul Haq , Shalini Harkar

Neural sequence generation models are known to "hallucinate", by producing outputs that are unrelated to the source text. These hallucinations are potentially harmful, yet it remains unclear in what conditions they arise and how to mitigate…

Computation and Language · Computer Science 2023-02-28 Weijia Xu , Sweta Agrawal , Eleftheria Briakou , Marianna J. Martindale , Marine Carpuat

We view the mind-body problem in terms of the two interconnected problems of phenomenal consciousness and mental causation, namely, how subjective conscious experience can arise from physical neurological processes and how conscious mental…

Neurons and Cognition · Quantitative Biology 2024-04-18 Ranjan Mukhopadhyay

This review provides a dynamical systems perspective on psychiatric symptoms and disease, and discusses its potential implications for diagnosis, prognosis, and treatment. After a brief introduction into the theory of dynamical systems, we…

Neurons and Cognition · Quantitative Biology 2018-09-18 Daniel Durstewitz , Quentin J. M. Huys , Georgia Koppe

Schizophrenia is one of the most disabling mental health conditions to live with. Approximately one percent of the population has schizophrenia which makes it fairly common, and it affects many people and their families. Patients with…

Computation and Language · Computer Science 2022-01-26 Amal Alqahtani , Efsun Sarioglu Kay , Sardar Hamidian , Michael Compton , Mona Diab

We discuss the possibility of multiple underlying etiologies of the condition currently labeled as schizophrenia. We support this hypothesis with a theoretical model of the prefrontal-limbic system. We show how the dynamical behavior of…

Neurons and Cognition · Quantitative Biology 2008-08-19 Anca Radulescu

The cognitive frame in which most neuropsychological research on the neural basis of behavior is conducted contains the assumption that brain mechanisms per se fully suffice to explain all psychologically described phenomena. This…

Neurons and Cognition · Quantitative Biology 2007-05-23 J. M. Schwartz , H. P. Stapp , M. Beauregard

Up to now, we have been faced with an age old fundamental dilemma posed by the mind-brain interaction problem, i.e. how is it that the mind which is subjective and immaterial, can interact with the brain which is objective and material?…

Neurons and Cognition · Quantitative Biology 2007-05-23 Fred Thaheld

This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures. We analyzed and compared the most representative symptoms…

Neurons and Cognition · Quantitative Biology 2019-11-22 Pablo Lanillos , Daniel Oliva , Anja Philippsen , Yuichi Yamashita , Yukie Nagai , Gordon Cheng

The Mind-Body Problem, which constitutes the starting point for a large part of the speculations about consciousness and conscious experience, can be re-stated in an equivalent way, using the `brain duplication' argument described in this…

General Physics · Physics 2009-04-06 Germano D'Abramo

Most versions of classical physics imply that if the 4-volume of the entire space-time is infinite or at least extremely large, then random fluctuations in the matter will by coincidence create copies of us in remote places, so called…

General Relativity and Quantum Cosmology · Physics 2018-12-06 Roderich Tumulka

We present the fundamentals of the quantum theoretical approach we have developed in the last decade to model cognitive phenomena that resisted modeling by means of classical logical and probabilistic structures, like Boolean, Kolmogorovian…

Neurons and Cognition · Quantitative Biology 2023-02-27 Diederik Aerts , Massimiliano Sassoli de Bianchi , Sandro Sozzo , Tomas Veloz