Tootfinder

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai
https://arxiv.org/abs/2510.08565 …

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Compositional training has been the de-facto paradigm in existing Multimodal Large Language Models (MLLMs), where pre-trained vision encoders are connected with pre-trained LLMs through continuous multimodal pre-training. However, the multimodal scaling property of this paradigm remains difficult to explore due to the separated training. In this paper, we focus on the native training of MLLMs in an end-to-end manner and systematically study its design space and scaling property under a practica…

Continuous spin field in the $\mathbf{AdS_6}$ space
Anastasia A. Golubtsova, Mikhail A. Podoinitsyn
https://arxiv.org/abs/2508.06140 https://arxiv.org/pdf/…

Continuous spin field in the $\mathbf{AdS_6}$ space
A representation of the $\mathfrak{so}(2,5)$ algebra corresponding to the continuous spin field in $\mathbf{AdS_6}$ is considered. The algebra is realized using the Lie-Lorentz derivative, which naturally incorporates $\mathbf{AdS_6}$ geometry and spin degrees of freedom. Within this framework, we derive explicit expressions for the Casimir operators in terms of both the covariant derivative and the spin invariants. The continuous spin representation under consideration is defined by a system o…

Global Bifurcation In Four-Component Bose-Einstein Condensates In Space
Carlos Garc\'ia-Azpeitia, Anna Go{\l}\c{e}biewska, Wieslaw Krawcewicz, Jingzhou Liu
https://arxiv.org/abs/2507.07235

Global Bifurcation In Four-Component Bose-Einstein Condensates In Space
We analyze a system of coupled Bose-Einstein condensates in the domain of a unitary ball in $\mathbb{R}^3$. The coupling is due to atom-to-atom interactions that occur between different gas components. The multi-component Bose-Einstein condensate is described by a system of Gross-Pitaevskii equations, which has an explicit trivial branch of constant solutions bifurcating from the zero-solution. Our main theorem establishes that this trivial branch undergoes multiple global bifurcations at any c…

PEAR: Phase Entropy Aware Reward for Efficient Reasoning
Chen Huang, Wei Lu, Wenxuan Zhang
https://arxiv.org/abs/2510.08026 https://arxiv.org/pdf/2510.0802…

PEAR: Phase Entropy Aware Reward for Efficient Reasoning
Large Reasoning Models (LRMs) have achieved impressive performance on complex reasoning tasks by generating detailed chain-of-thought (CoT) explanations. However, these responses are often excessively long, containing redundant reasoning steps that inflate inference cost and reduce usability. Controlling the length of generated reasoning without sacrificing accuracy remains an open challenge. Through a systematic empirical analysis, we reveal a consistent positive correlation between model entr…

Non-asymptotic Error Analysis of Explicit Modified Euler Methods for Superlinear and Non-contractive SODEs
Zhihui Liu, Xiaojie Wang, Xiaoming Wu, Xiaoyan Zhang
https://arxiv.org/abs/2509.08410

Non-asymptotic Error Analysis of Explicit Modified Euler Methods for Superlinear and Non-contractive SODEs
A family of explicit modified Euler methods (MEMs) is constructed for long-time approximations of super-linear SODEs driven by multiplicative noise. The proposed schemes can preserve the same Lyapunov structure as the continuous problems. Under a non-contractive condition, we establish a non-asymptotic error bound between the law of the numerical approximation and the target distribution in Wasserstein-1 ($\mathcal{W}_1$) distance through a time-independent weak convergence rate for the propose…

Enhancing Software Vulnerability Detection Through Adaptive Test Input Generation Using Genetic Algorithm
Yanusha Mehendran, Maolin Tang, Yi Lu
https://arxiv.org/abs/2508.05923 …

Enhancing Software Vulnerability Detection Through Adaptive Test Input Generation Using Genetic Algorithm
Software vulnerabilities continue to undermine the reliability and security of modern systems, particularly as software complexity outpaces the capabilities of traditional detection methods. This study introduces a genetic algorithm-based method for test input generation that innovatively integrates genetic operators and adaptive learning to enhance software vulnerability detection. A key contribution is the application of the crossover operator, which facilitates exploration by searching acros…

Observation of electromagnons in a monolayer multiferroic
Mohammad Amini, Tiago V. C. Ant\~ao, Liwei Jing, Ziying Wang, Antti Karjasilta, Robert Drost, Shawulienu Kezilebieke, Jose L. Lado, Adolfo O. Fumega, Peter Liljeroth
https://arxiv.org/abs/2510.08253

Observation of electromagnons in a monolayer multiferroic
Van der Waals multiferroics have emerged as a promising platform to explore novel magnetoelectric phenomena. Recently, it has been shown that monolayer NiI$_2$ hosts robust type-II multiferroicity down to the two-dimensional limit, a giant dynamical magnetoelectric coupling at terahertz frequencies, and an electrically switchable spin polarization. These developments present the possibility of engineering ultrafast, low-energy-consumption, and electrically-tunable spintronic devices based on th…

Primero fue el Deutche Bank, ahora el Financial Times... se viene pinchazo de la burbuja de la IA y ya han dicho que es ocho veces mayor que la que explotó en 2007 https://archive.is/20251008173930/https://www.ft.com/content/fe474cff-564c-41d2-aaf7…

Exact large deviations and emergent long-range correlations in sequential quantum East circuits
Jimin Li, Bruno Bertini, Juan P. Garrahan, Robert L. Jack
https://arxiv.org/abs/2509.07182

Exact large deviations and emergent long-range correlations in sequential quantum East circuits
Exploiting quantum measurements is a promising route for preparation of correlated quantum states. We use methods from large deviation theory to solve this problem exactly for a specific system: the deterministic quantum East circuit with boundary measurements. We show that conditioning on measurement outcomes generates a long-range correlated state, despite typical trajectories being trivial. We derive the channel that optimally realizes the rare measurement trajectories, and establish a forma…

Scaling crossover of the generalized Jeffreys-type law
Fugui Ma
https://arxiv.org/abs/2510.07930 https://arxiv.org/pdf/2510.07930

Scaling crossover of the generalized Jeffreys-type law
The generalized Jeffreys-type law is formulated as a multi-term time-fractional Jeffreys-type equation, whose dynamics exhibit rich scaling crossover phenomena entailing different diffusion mechanisms. In this work, we provide a novel physical explanation for the equation from first principles, beginning with a microscopic description based on the continuous-time random walk framework with a generalized waiting time distribution and further deriving the equation from an overdamped Langevin equa…