Tootfinder

Mano a Mano con Isaiah Pola-Mao https://www.raiders.com/video/mano-a-mano-con-isaiah-pola-mao-nfl-2025

Mano a Mano con Isaiah Pola-Mao https://www.raiders.com/video/mano-a-mano-con-isaiah-pola-mao-nfl-2025

Jakobi Meyers, Dont'e Thornton Jr., Michael Mayer and Isaiah Pola-Mao Scrums | Week 2 vs. Chargers https://www.raiders.com/video/jakobi-meyers-donte-thornton-michael-mayer-isaiah-pola-mao-scrums-week-2-chargers

MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
Lu Liu, Chunlei Cai, Shaocheng Shen, Jianfeng Liang, Weimin Ouyang, Tianxiao Ye, Jian Mao, Huiyu Duan, Jiangchao Yao, Xiaoyun Zhang, Qiang Hu, Guangtao Zhai
https://arxiv.org/abs/2510.08508

MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
Real-world videos often suffer from complex degradations, such as noise, compression artifacts, and low-light distortions, due to diverse acquisition and transmission conditions. Existing restoration methods typically require professional manual selection of specialized models or rely on monolithic architectures that fail to generalize across varying degradations. Inspired by expert experience, we propose MoA-VR, the first \underline{M}ixture-\underline{o}f-\underline{A}gents \underline{V}ideo …

Co-TAP: Three-Layer Agent Interaction Protocol Technical Report
Shunyu An, Miao Wang, Yongchao Li, Dong Wan, Lina Wang, Ling Qin, Liqin Gao, Congyao Fan, Zhiyong Mao, Jiange Pu, Wenji Xia, Dong Zhao, Rui Hu, Ji Lu, Guiyue Zhou, Baoyu Tang, Yanqin Gao, Yongsheng Du, Daigang Xu, Lingjun Huang, Baoli Wang, Xiwen Zhang, Luyao Wang, Shilong Liu
https://

Co-TAP: Three-Layer Agent Interaction Protocol Technical Report
This paper proposes Co-TAP (T: Triple, A: Agent, P: Protocol), a three-layer agent interaction protocol designed to address the challenges faced by multi-agent systems across the three core dimensions of Interoperability, Interaction and Collaboration, and Knowledge Sharing. We have designed and proposed a layered solution composed of three core protocols: the Human-Agent Interaction Protocol (HAI), the Unified Agent Protocol (UAP), and the Memory-Extraction-Knowledge Protocol (MEK). HAI focuse…

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
Dong Han, Zhehong Ai, Pengxiang Cai, Shuzhou Sun, Shanya Lu, Jianpeng Chen, Ben Gao, Lingli Ge, Weida Wang, Xiangxin Zhou, Xihui Liu, Mao Su, Wanli Ouyang, Lei Bai, Dongzhan Zhou, Tao XU, Yuqiang Li, Shufei Zhang
https://arxiv.org/abs/2509.08736

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
The efficiency of Bayesian optimization (BO) in chemistry is often hindered by sparse experimental data and complex reaction mechanisms. To overcome these limitations, we introduce ChemBOMAS, a new framework named LLM-Enhanced Multi-Agent System for accelerating BO in chemistry. ChemBOMAS's optimization process is enhanced by LLMs and synergistically employs two strategies: knowledge-driven coarse-grained optimization and data-driven fine-grained optimization. First, in the knowledge-driven coa…

Training-Free Group Relative Policy Optimization
Yuzheng Cai, Siqi Cai, Yuchen Shi, Zihan Xu, Lichao Chen, Yulei Qin, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Yong Mao, Ke Li, Xing Sun
https://arxiv.org/abs/2510.08191

Training-Free Group Relative Policy Optimization
Recent advances in Large Language Model (LLM) agents have demonstrated their promising general capabilities. However, their performance in specialized real-world domains often degrades due to challenges in effectively integrating external tools and specific prompting strategies. While methods like agentic reinforcement learning have been proposed to address this, they typically rely on costly parameter updates, for example, through a process that uses Supervised Fine-Tuning (SFT) followed by a …

Random unitaries that conserve energy
Liang Mao, Laura Cui, Thomas Schuster, Hsin-Yuan Huang
https://arxiv.org/abs/2510.08448 https://arxiv.org/pdf/2510.08…

Random unitaries that conserve energy
Random unitaries sampled from the Haar measure serve as fundamental models for generic quantum many-body dynamics. Under standard cryptographic assumptions, recent works have constructed polynomial-size quantum circuits that are computationally indistinguishable from Haar-random unitaries, establishing the concept of pseudorandom unitaries (PRUs). While PRUs have found broad implications in many-body physics, they fail to capture the energy conservation that governs physical systems. In this wo…

Rethinking Provenance Completeness with a Learning-Based Linux Scheduler
Jinsong Mao, Benjamin E. Ujcich, Shiqing Ma
https://arxiv.org/abs/2510.08479 https://

Rethinking Provenance Completeness with a Learning-Based Linux Scheduler
Provenance plays a critical role in maintaining traceability of a system's actions for root cause analysis of security threats and impacts. Provenance collection is often incorporated into the reference monitor of systems to ensure that an audit trail exists of all events, that events are completely captured, and that logging of such events cannot be bypassed. However, recent research has questioned whether existing state-of-the-art provenance collection systems fail to ensure the security guar…

Big plays on both sides of the ball secures Raiders the Week 1 win vs. Patriots https://www.raiders.com/video/brock-bowers-isaiah-pola-mao-recap-week-1-win-patriots-nfl

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed Chi, Cristos Goodrow, Ningren Han, He Ma, Romer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Large Language Models (LLMs) pose a new paradigm of modeling and computation for information tasks. Recommendation systems are a critical application domain poised to benefit significantly from the sequence modeling capabilities and world knowledge inherent in these large models. In this paper, we introduce PLUM, a framework designed to adapt pre-trained LLMs for industry-scale recommendation tasks. PLUM consists of item tokenization using Semantic IDs, continued pre-training (CPT) on domain-sp…

The low-lying light tetraquark states with quantum numbers $J^{P}=0^{ }$, $1^{ }$ and $2^{ }$
Hao Wu, Mao-Jun Yan, Chun-Sheng An, Cheng-Rong Deng
https://arxiv.org/abs/2510.07836

The low-lying light tetraquark states with quantum numbers $J^{P}=0^{+ }$, $1^{+}$ and $2^{+}$
The low-lying light tetraquark states are investigated in the non-relativistic quark model (NRQM) including the pseudoscalar meson exchange, where two different confinement potential schemes, the Cornell potential and the linear potential, are employed, along with the instanton-induced interaction serving as the residual spin-dependent interaction. The numerical results show agreement with masses of $f_{0}(500)$, $f_{0}(1370)$, $f_{0}(1500)$, $f_{0}(2020)$, $f_{0}(2200)$, $h_{1}(1170)$, $h_{1}(…

Crosslisted article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- Rethinking Provenance Completeness with a Learning-Based Linux Scheduler
Jinsong Mao, Benjamin E. Ujcich, Shiqing Ma

Ultra-Efficient Reconstruction of Anisotropic Hyperuniform Continuous Random Fields in 2D and 3D via Generalized Spectral Filtering
Liyu Zhong, Sheng Mao
https://arxiv.org/abs/2509.08675

Ultra-Efficient Reconstruction of Anisotropic Hyperuniform Continuous Random Fields in 2D and 3D via Generalized Spectral Filtering
Hyperuniform continuous random fields suppress large-scale fluctuations while preserving rich local disorder, making them highly attractive for next-generation photonic, thermal and mechanical materials. However, traditional reconstruction techniques often suffer from limited spectral control or excessive computational cost, especially in high-resolution 2D and 3D settings. In this work, we present an ultra-efficient generative algorithm based on generalized superellipse spectral filtering, whi…

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Language Models Surface the Unwritten Code of Science and Society
Honglin Bao, Siyang Wu, Jiwoong Choi, Yingrong Mao, James A. Evans

Spectral Prefiltering of Neural Fields
Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan, Andreas Meuleman, Tzu-Mao Li, Ravi Ramamoorthi
https://arxiv.org/abs/2510.08394 https://

Spectral Prefiltering of Neural Fields
Neural fields excel at representing continuous visual signals but typically operate at a single, fixed resolution. We present a simple yet powerful method to optimize neural fields that can be prefiltered in a single forward pass. Key innovations and features include: (1) We perform convolutional filtering in the input domain by analytically scaling Fourier feature embeddings with the filter's frequency response. (2) This closed-form modulation generalizes beyond Gaussian filtering and supports…

Phase-controlled quantum transport signatures in a quantum dot-Majorana hybrid ring system
Sirui Yu, Junrong Wang, Huajin Zhao, Hong Mao, Jinshuang Jin
https://arxiv.org/abs/2510.07826

Phase-controlled quantum transport signatures in a quantum dot-Majorana hybrid ring system
We investigate the quantum transport in a hybrid ring system consisting of a quantum dot (QD) coupled to two Majorana bound states (MBSs) hosted in a topological superconducting nanowire, threaded by a magnetic flux. Utilizing the dissipaton equation-of-motion approach, we demonstrate that the differential conductance shows periodic behavior and its periodicity depends on both the QD energy level and the MBS overlapping. A zero-bias peak (ZBP) emerges as a result of the balance between normal a…

A large language model system for the field of chemical engineering technology
Heng Zhang, Jibin Zhou, Feiyang Xu, Jian Cui, Yi Li, Fan Yang, Hao Wang, Xin Li, Mao Ye
https://arxiv.org/abs/2509.07034

A large language model system for the field of chemical engineering technology
The development of chemical engineering technology is a multi-stage process that encompasses laboratory research, scaling up, and industrial deployment. This process demands interdisciplinary col laboration and typically incurs significant time and economic costs. To tackle these challenges, we have developed a system based on ChemELLM in this work. This system enables users to interact freely with the chem ical engineering model, establishing a new paradigm for AI-driven in novation an…

LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction
Weichu Liu, Jing Xiong, Yuxuan Hu, Zixuan Li, Minghuan Tan, Ningning Mao, Chenyang Zhao, Zhongwei Wan, Chaofan Tao, Wendong Xu, Hui Shen, Chengming Li, Lingpeng Kong, Ngai Wong
https://arxiv.org/abs/2509.07403…

LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction
Large language models (LLMs) make significant progress in Emotional Intelligence (EI) and long-context understanding. However, existing benchmarks tend to overlook certain aspects of EI in long-context scenarios, especially under realistic, practical settings where interactions are lengthy, diverse, and often noisy. To move towards such realistic settings, we present LongEmotion, a benchmark specifically designed for long-context EI tasks. It covers a diverse set of tasks, including Emotion Cla…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[5/5]:
- IntuiTF: MLLM-Guided Transfer Function Optimization for Direct Volume Rendering
Wang, Pan, Wang, Liu, Mao, Liu, Zhu, Huang, Chen, Zhang, Chen

Realizing the Haldane Model in Thermal Atoms
Jiefei Wang, Jianhao Dai, Ruosong Mao, Yunzhou Lu, Xiao Liu, Huizhu Hu, Shi-Yao Zhu, Xingqi Xu, Han Cai, Da-Wei Wang
https://arxiv.org/abs/2509.08411

Realizing the Haldane Model in Thermal Atoms
Topological materials hold great promise for developing next-generation devices with transport properties that remain resilient in the presence of local imperfections. However, their susceptibility to thermal noise has posed a major challenge. In particular, the Haldane model, a cornerstone in topological physics, generally requires cryogenic temperatures for experimental realization, limiting both the investigation of topologically robust quantum phenomena and their practical applications. In …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/4]:
- CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
Qikai Wei, Mingzhi Yang, Jinqiang Wang, Wenwei Mao, Jiabo Xu, Huansheng Ning

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Realizing the Haldane Model in Thermal Atoms
Wang, Dai, Mao, Lu, Liu, Hu, Zhu, Xu, Cai, Wang

Nonabelian Kodaira-Spencer maps
Yixuan Fu, Mao Sheng
https://arxiv.org/abs/2509.06050 https://arxiv.org/pdf/2509.06050

Nonabelian Kodaira-Spencer maps
We give an explicit formula of the associated graded map to the nonabelian Gauss-Manin connection with respect to the nonabelian Hodge filtration.

Codes Correcting Transpositions of Consecutive Symbols
Mladen Kova\v{c}evi\'c, Keshav Goyal, Han Mao Kiah
https://arxiv.org/abs/2509.06692 https://arxi…

Codes Correcting Transpositions of Consecutive Symbols
The problem of correcting transpositions (or swaps) of consecutive symbols in $ q $-ary strings is studied. A family of codes correcting a transposition at an arbitrary location is described and proved to have asymptotically optimal redundancy. Additionally, an improved construction is given over a binary alphabet. Bounds on the cardinality of codes correcting $ t = \textrm{const} $ transpositions are obtained. A lower bound on the achievable asymptotic rate of optimal codes correcting $ t = τ…

Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
Xutao Mao, Ke Li, Cameron Baird, Ezra Xuanru Tao, Dan Lin
https://arxiv.org/abs/2510.06544 https://

Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
As advances in synthetic voice generation accelerate, an increasing variety of fake voice generators have emerged, producing audio that is often indistinguishable from real human speech. This evolution poses new and serious threats across sectors where audio recordings serve as critical evidence. Although fake voice detectors are also advancing, the arms race between fake voice generation and detection has become more intense and complex. In this work, we present the first large-scale, cross-do…

Distributed Detection and Bandwidth Allocation with Hybrid Quantized and Full-Precision Observations over Multiplicative Fading Channels
Linlin Mao, Zeping Sui, Michail Matthaiou, Hongbin Li
https://arxiv.org/abs/2510.06429

Distributed Detection and Bandwidth Allocation with Hybrid Quantized and Full-Precision Observations over Multiplicative Fading Channels
A hybrid detector that fuses both quantized and full-precision observations is proposed for weak signal detection under additive and multiplicative Gaussian noise. We first derive a locally most powerful test (LMPT)--based hybrid detector from the composite probability distribution of the compound observations received by the fusion center, and then analyze its asymptotic detection performance. Subsequently, we optimize the sensor-wise quantization thresholds to achieve near-optimal asymptotic …

Adaptive Dynamics Planning for Robot Navigation
Lu Yuanjie, Mao Mingyang, Xu Tong, Wang Linji, Lin Xiaomin, Xiao Xuesu
https://arxiv.org/abs/2510.05330 https://

Adaptive Dynamics Planning for Robot Navigation
Autonomous robot navigation systems often rely on hierarchical planning, where global planners compute collision-free paths without considering dynamics, and local planners enforce dynamics constraints to produce executable commands. This discontinuity in dynamics often leads to trajectory tracking failure in highly constrained environments. Recent approaches integrate dynamics within the entire planning process by gradually decreasing its fidelity, e.g., increasing integration steps and reduci…

Replaced article(s) found for gr-qc. https://arxiv.org/list/gr-qc/new
[3/3]:
- The degeneracy between microlensing wave effect and precession in strongly lensed gravitational wave
Xikai Shan, Huan Yang, Shude Mao, Otto A. Hannuksela

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial
Bisheng Wei, Ruihong Jiang, Ruichen Zhang, Yinqiu Liu, Dusit Niyato, Yaohua Sun, Yang Lu, Yonghui Li, Shiwen Mao, Chau Yuen, Marco Di Renzo, Mugen Peng
https://arxiv.org/abs/2509.05946

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial
The rapid advancement toward sixth-generation (6G) wireless networks has significantly intensified the complexity and scale of optimization problems, including resource allocation and trajectory design, often formulated as combinatorial problems in large discrete decision spaces. However, traditional optimization methods, such as heuristics and deep reinforcement learning (DRL), struggle to meet the demanding requirements of real-time adaptability, scalability, and dynamic handling of user inte…

Warm absorber outflows in radio-loud active galactic nucleus 3C~59
Yijun Wang, Tao Wang, Junjie Mao, Yerong Xu, Zhicheng He, Zheng Zhou, Chen Li, Yongquan Xue, Jiayi Chen, Fangzheng Shi, Missagh Mehdipour
https://arxiv.org/abs/2510.06752

Warm absorber outflows in radio-loud active galactic nucleus 3C~59
Both jets and ionized outflows in active galactic nuclei (AGNs) are thought to play important roles in affecting the star formation and evolution of host galaxies, but their relationship is still unclear. As a pilot study, we performed a detailed spectral analysis for a radio-loud (RL) AGN 3C~59 ($z=0.1096$) by systematically considering various factors that may affect the fitting results, and thereby establishing a general spectral fitting strategy for subsequent research with larger sample. 3…

Crosslisted article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- Evolutionary Profiles for Protein Fitness Prediction
Fan, Jiao, Lin, Liang, Mao, Jing, Chen, Shen

Hayden--Preskill Model via Local Quenches
Weibo Mao, Tadashi Takayanagi
https://arxiv.org/abs/2510.05853 https://arxiv.org/pdf/2510.05853

Hayden--Preskill Model via Local Quenches
We model the Hayden--Preskill (HP) information recovery protocol in 2d CFTs via local joining quenches. Euclidean path integrals with slits prepare the HP subsystems: the message $M$, its reference $N$, the Page-time black hole $B$, the early radiation $E$, and the late radiation $R$; the remaining black hole after emitting $R$ is denoted as $B'$. The single-slit geometry provides an analytically tractable toy model, while the bounded-slit geometry more closely captures the HP setup. In the fre…

Canonicalization of the E value from BLAST similarity search -- dissimilarity measure and distance function for a metric space of protein sequences
Boryeu Mao
https://arxiv.org/abs/2509.06849

Canonicalization of the E value from BLAST similarity search -- dissimilarity measure and distance function for a metric space of protein sequences
Sequence matching algorithms such as BLAST and FASTA have been widely used in searching for evolutionary origin and biological functions of newly discovered nucleic acid and protein sequences. As parts of these search tools, alignment scores and E values are useful indicators of the quality of search results from querying a database of annotated sequences, whereby a high alignment score (and inversely a low E value) reflects significant similarity between the query and the subject (target) sequ…

Evolutionary Profiles for Protein Fitness Prediction
Jigang Fan, Xiaoran Jiao, Shengdong Lin, Zhanming Liang, Weian Mao, Chenchen Jing, Hao Chen, Chunhua Shen
https://arxiv.org/abs/2510.07286

Evolutionary Profiles for Protein Fitness Prediction
Predicting the fitness impact of mutations is central to protein engineering but constrained by limited assays relative to the size of sequence space. Protein language models (pLMs) trained with masked language modeling (MLM) exhibit strong zero-shot fitness prediction; we provide a unifying view by interpreting natural evolution as implicit reward maximization and MLM as inverse reinforcement learning (IRL), in which extant sequences act as expert demonstrations and pLM log-odds serve as fitne…

Ashton Jeanty, Maxx Crosby, Brock Bowers, Jakobi Meyers and Isaiah Pola-Mao Scrums https://www.raiders.com/video/ashton-jeanty-maxx-crosby-brock-bowers-jakobi-meyers-isaiah-pola-mao-scrums-week-1

First Constraint on P-odd/T-odd Cross Section in Polarized Neutron Transmission through Transversely Polarized $^{139}$La
Rintaro Nakabe, Clayton J. Auton, Shunsuke Endo, Hiroyuki Fujioka, Vladimir Gudkov, Katsuya Hirota, Ikuo Ide, Takashi Ino, Motoyuki Ishikado, Wataru Kambara, Shiori Kawamura, Atsushi Kimura, Masaaki Kitaguchi, Ryuju Kobayashi, Takahiro Okamura, Takayuki Oku, Takuya Okudaira, Mao Okuizumi, J. G. Otero Munoz, Joseph D. Parker, Kenji Sakai, Tatsushi Shima, Hirohiko M. …

First Constraint on P-odd/T-odd Cross Section in Polarized Neutron Transmission through Transversely Polarized $^{139}$La
We report the first constraint on time-reversal invariance violating (TRIV) effects in polarized neutron transmission through a polarized $^{139}$La target. Using the explicit forward scattering amplitude for $^{139}$La, we derive analytic expressions for spin observables within the density matrix formalism and apply them to the existing transmission data. The experiment was not optimized for TRIV observables but was taken to measure the spin-dependent cross section around the $p$-wave resonanc…

Integral formulas for under/overdetermined differential operators via recovery on curves and the finite-dimensional cokernel condition I: General theory
Philip Isett, Yuchen Mao, Sung-Jin Oh, Zhongkai Tao
https://arxiv.org/abs/2509.04617

Integral formulas for under/overdetermined differential operators via recovery on curves and the finite-dimensional cokernel condition I: General theory
We introduce a new versatile method for constructing solution operators (i.e., right-inverses up to a finite rank operator) for a wide class of underdetermined PDEs $P u = f$, which are regularizing of optimal order and, more interestingly, whose integral kernels have certain prescribed support properties. By duality, we simultaneously obtain integral representation formulas (i.e., left-inverses up to a finite rank operator) for overdetermined PDEs $P^{\ast} v = g$ with analogous properties, wh…

Trace Repair Never Loses to Classical Repair: Exact and Explicit Helper Nodes Selection
Wilton Kim, Stanislav Kruglik, Han Mao Kiah
https://arxiv.org/abs/2509.06492 https://

Trace Repair Never Loses to Classical Repair: Exact and Explicit Helper Nodes Selection
We study the repair of Reed--Solomon codes over $\mathbb{F}=\mathbb{B}^t$ using traces over $\mathbb{B}$. Building on the trace framework of Guruswami--Wootters (2017), recent work of Liu--Wan--Xing (2024) reduced repair bandwidth by studying a related subspace $\mathcal{W}_k$. In this work, we determine the dimension of $\mathcal{W}_k$ exactly using cyclotomic cosets and provide an explicit set of helper nodes that attains bandwidth $(n-d-1)\log |\mathbb{B}|$ bits with $d=\text{dim}(…

FIRE 7: Automatic Reduction with Modular Approach
Alexander V. Smirnov, Mao Zeng
https://arxiv.org/abs/2510.07150 https://arxiv.org/pdf/2510.07150

FIRE 7: Automatic Reduction with Modular Approach
FIRE7 is a major update to the FIRE program for integration-by-parts (IBP) reduction of Feynman integrals. A large part of improvements is related to the automatic reduction and reconstruction with the modular arithmetic approach, while the performance of the classical rational polynomial approach is also significantly increased. An improved presolve algorithm performs Gaussian elimination to simplify IBP identities before substituting numerical indices as in the Laporta algorithm. Various new …

Älskar AF. Den äldsta kunde få en lärlingsplats givet att ägarna fick stöd de första 6 månaderna när de lär upp henne innan de anställer - ett fast jobb i horizonten mao. Vill AF hjälpa till? Nix, de vill att hon ska gå söka-jobb-kurs istället så att jobbet är borta när hon är färdig. Hur kan systemet vara så jävla trasigt?

Sharp Lower Bounds for Linearized ReLU^k Approximation on the Sphere
Tong Mao, Jinchao Xu
https://arxiv.org/abs/2510.04060 https://arxiv.org/pdf/2510.04060…

Sharp Lower Bounds for Linearized ReLU^k Approximation on the Sphere
We prove a saturation theorem for linearized shallow ReLU$^k$ neural networks on the unit sphere $\mathbb S^d$. For any antipodally quasi-uniform set of centers, if the target function has smoothness $r>\tfrac{d+2k+1}{2}$, then the best $\mathcal{L}^2(\mathbb S^d)$ approximation cannot converge faster than order $n^{-\frac{d+2k+1}{2d}}$. This lower bound matches existing upper bounds, thereby establishing the exact saturation order $\tfrac{d+2k+1}{2d}$ for such networks. Our results place linea…

Multi-Channel Amplitude-Phase Asymmetric-Encrypted Janus Acoustic Meta-Holograms
Haohan Zeng, Zhenyu He, Tianxiang Zhang, Xiao Guo, Xinghao Hu, Youyu Mo, Tingting Li, Feilong Mao, Haiyan Fan, Xudong Fan, Weiwei Kan, Yifan Zhu, Hui Zhang, Guodong Yin, Badreddine Assouar
https://arxiv.org/abs/2510.05789

Multi-Channel Amplitude-Phase Asymmetric-Encrypted Janus Acoustic Meta-Holograms
Encrypted optical and acoustic meta-holograms only focus on the encrypted hologram in a single channel, viz. modulating spatial amplitude to project a holographic image. In this research, the unique concept of multi-channel amplitude-phase asymmetric-encrypted Janus acoustic meta-holograms is proposed, demonstrating remarkable capabilities of generating, encrypting, and decrypting both amplitude and phase holographic images on both sides of a metascreen. The flexible and decoupled manipulation …

Nonlinear Hodge correspondence in positive characteristic
Mao Sheng
https://arxiv.org/abs/2510.05578 https://arxiv.org/pdf/2510.05578

Nonlinear Hodge correspondence in positive characteristic
In this article, we extend the nonabelian Hodge correspondence in positive characteristic to the nonlinear setting.

Algebraicity of adjoint $L$-functions for quasi-split groups
Shih-Yu Chen
https://arxiv.org/abs/2509.23940 https://arxiv.org/pdf/2509.23940

Algebraicity of adjoint $L$-functions for quasi-split groups
For a globally generic cuspidal automorphic representation $\mathitΠ$ of a quasi-split reductive group $G$ over $\mathbb Q$, E. Lapid and Z. Mao proposed a conjecture on the decomposition of the global Whittaker functionals on $\mathitΠ$ into products of an adjoint $L$-value of $\mathitΠ$ and the local Whittaker functionals. In this paper, we consider the algebraic aspect of the Lapid-Mao conjecture. More precisely, when $\mathitΠ$ is $C$-algebraic, we show that the algebraicity of the adjo…

Jakobi Meyers, Dont'e Thornton Jr., Michael Mayer and Isaiah Pola-Mao Scrums | Week 2 vs. Chargers https://www.youtube.com/watch?v=csQmPA7iess

Gravitational lensing by a spiral galaxy I: the influence from bar's structure to the flux ratio anomaly
Xikai Shan, Yunpeng Jin, Shude Mao
https://arxiv.org/abs/2510.02805 …

Gravitational lensing by a spiral galaxy I: the influence from bar's structure to the flux ratio anomaly
Gravitational lens flux ratio anomalies are a powerful probe of small-scale mass structures within lens galaxies. These anomalies are often attributed to dark matter subhalos, but the baryonic components of the lens can also play a significant role. This study investigates the impact of galactic bars, a common feature in spiral galaxies, on flux ratio anomalies. We conduct a systematic analysis using a sample of 21 barred galaxies from the high-resolution Auriga cosmological simulations. First,…

Crosslisted article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- Evolutionary Profiles for Protein Fitness Prediction
Fan, Jiao, Lin, Liang, Mao, Jing, Chen, Shen

Anomalous Magnetoresistance Beyond the Julli\`ere Model for Spin Selectivity in Chiral Molecules
Tian-Yi Zhang, Yue Mao, Ai-Min Guo, Qing-Feng Sun
https://arxiv.org/abs/2509.05588

Anomalous Magnetoresistance Beyond the Jullière Model for Spin Selectivity in Chiral Molecules
The issue of anomalous high magnetoresistance, beyond the Jullière model, observed in nonmagnetic electrode-chiral molecular-ferromagnetic electrode devices has puzzled the community for a long time. Here, by considering the magnetic proximity effect which shifts the nonmagnetic-ferromagnetic interface toward chiral molecules, we show the anomalous high magnetoresistance beyond the spin polarization in ferromagnetic electrodes even in the very weak spin-orbit coupling. Our results are in excel…

Explicit formulae and topological descriptions of action-minimizing sets for 2-locally potentials of the XY model
Yuika Kajihara, Shoya Motonaga, Mao Shinoda
https://arxiv.org/abs/2510.02678

Explicit formulae and topological descriptions of action-minimizing sets for 2-locally potentials of the XY model
We consider ergodic optimization of a symbolic dynamics with uncountable alphabet $[0,1]$ for 2-locally constant potentials with the twist condition, and give explicit formulae of the associated Mather set and the Aubry set. Moreover, we investigate the total disconnectedness of the (quotient) Aubry set, in which case the differentiability of the potential function makes a remarkable difference. Although these results imply that the (quotient) Aubry set is small enough, we give a complete chara…

Hunyuan-MT Technical Report
Mao Zheng, Zheng Li, Bingxin Qu, Mingyang Song, Yang Du, Mingrui Sun, Di Wang
https://arxiv.org/abs/2509.05209 https://arxiv.or…

Hunyuan-MT Technical Report
In this report, we introduce Hunyuan-MT-7B, our first open-source multilingual translation model, which supports bidirectional translation across 33 major languages and places a special emphasis on translation between Mandarin and several ethnic minority languages as well as dialects. Furthermore, to serve and address diverse translation scenarios and enhance model performance at test time, we introduce Hunyuan-MT-Chimera-7B, a translation model inspired by the slow thinking mode. This model in…

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Towards Explainable Vulnerability Detection with Large Language Models
Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun

FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs
Haijun Zhang, Jinxiang Wang, Zhenhua Yu, Yanyong Zhang, Xuejie Ji, Kaining Mao, Jun Zhang, Yaqing Zhang, Ting Wu, Fei Jie, Xiemin Huang, Zhifang Cai, Junhua Cheng, Shuwei Wang, Wei Li, Xiaoming Bao, Hua Xu, Shixiong Zhao, Jun Li, Hongwei Sun, Ziyang Zhang, Yi Xiong, Chunsheng Li

FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs
Large language models (LLMs) have made a profound impact across various fields due to their advanced capabilities. However, training these models at unprecedented scales requires extensive AI accelerator clusters and sophisticated parallelism strategies, which pose significant challenges in maintaining system reliability over prolonged training periods. A major concern is the substantial loss of training time caused by inevitable hardware and software failures. To address these challenges, we p…

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang, Dusit Niyato, Geng Sun, Xianbin Wang, Shiwen Mao, Abbas Jamalipour
https://arxiv.org/abs/2510.05596

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human intervention. Unlike static AI models, self-evolving agents embed an autonomous evolution cycle that updates models, tools, and workflows in response to environmental dynamics. This paper presents a comprehensive overview of self-evolving agentic AI, highlighting its layered architecture, life cycle, and key techniques,…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/3]:
- Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
Guo, Liu, Chen, Mao, Hu, Jiang, Yu, Xu, Liu, Xu, Chen, Guo

Crosslisted article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Chenkai Mao, Jonathan A. Fan

DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
Chuan He, Shuyi Ren, Jingwei Mao, Erik G. Larsson
https://arxiv.org/abs/2510.01377 https://

DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
In this paper, we propose DeMuon, a method for decentralized matrix optimization over a given communication topology. DeMuon incorporates matrix orthogonalization via Newton-Schulz iterations-a technique inherited from its centralized predecessor, Muon-and employs gradient tracking to mitigate heterogeneity among local functions. Under heavy-tailed noise conditions and additional mild assumptions, we establish the iteration complexity of DeMuon for reaching an approximate stochastic stationary …

Crosslisted article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding

Chemical transport by weakly nonlinear internal gravity waves in stars
Yifeng Mao, Daniel Lecoanet
https://arxiv.org/abs/2510.02031 https://arxiv.org/pdf/2…

Chemical transport by weakly nonlinear internal gravity waves in stars
While it is well-known that internal gravity waves (IGWs) transport chemicals in the radiative zones of stars, there remains substantial uncertainty on the amount of, and physical mechanism behind, this transport. Most previous studies have relied on heuristic theories, or numerical simulations that may be hard to extrapolate to stellar parameters. In this work, we present the first rigorous asymptotic calculation of (passive) chemical transport by IGWs, in the limit of small wave amplitude. We…

'Always the best feeling': Raiders' explosive plays lead to Week https://www.raiders.com/video/maxx-crosby-isaiah-pola-mao-postgame-recap-win-nfl-week-1-patriots-2025

Design of a Josephson diode based on double magnetic impurities
Yu-Fei Sun, Yue Mao, Qing-Feng Sun
https://arxiv.org/abs/2509.03984 https://arxiv.org/pdf/2…

Design of a Josephson diode based on double magnetic impurities
We theoretically propose a universal superconducting diode device based on double magnetic impurities which are coupled to the connection region of the Josephson junction. The positive and negative currents flowing across the junction can generate opposite magnetic fields, flipping the magnetic moment of the side magnetic impurity to the opposite directions, and in turn, the two impurities will have different impacts on the opposite currents. This results in the phenomenon that the positive and…

Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Chenkai Mao, Jonathan A. Fan
https://arxiv.org/abs/2509.03622 https://arxiv.o…

Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Neural networks have promise as surrogate partial differential equation (PDE) solvers, but it remains a challenge to use these concepts to solve problems with high accuracy and scalability. In this work, we show that neural network surrogates can combine with iterative algorithms to accurately solve PDE problems featuring different scales, resolutions, and boundary conditions. We develop a subdomain neural operator model that supports arbitrary Robin-type boundary condition inputs, and we show …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/12]:
- MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
Zongle Huang, Lei Zhu, Zongyuan Zhan, Ting Hu, Weikai Mao, Xianzhi Yu, Yongpan Liu, Tianyu Zhang

Isaiah Pola-Mao picks off Trevor Lawrence in the end zone! https://www.raiders.com/video/isaiah-pola-mao-picks-off-trevor-lawrence-end-zone-nfl

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Dist...
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou, Kai-Chun Liu, Yu Tsao

Sliding multiferroicity in hexagonal stacked CrI3
Carter Fox, Jose D. Mella, Jack Rollins, Yangchen He, Yulu Mao, Haotian Jiang, Alaina Drew, Hongrui Ma, Takashi Taniguchi, Kenji Watanabe, Ying Wang, Daniel Rhodes, Salvador Barraza-Lopez, Jun Xiao
https://arxiv.org/abs/2510.03220

Sliding multiferroicity in hexagonal stacked CrI3
Developing new multiferroics at the two-dimensional (2D) limit with energy-efficient magnetoelectric coupling can inform the interplay physics of novel orders and advance on-chip high-performance computing applications. Here we apply stacking order engineering to create a new type of 2D multiferroics, namely sliding multiferroics, based on polar hexagonal stacked (H-stacked) CrI3. This new stacking order removes structural inversion symmetry and gives rise to room temperature sliding ferroelect…

YOLO-based Bearing Fault Diagnosis With Continuous Wavelet Transform
Po-Heng Chou, Wei-Lung Mao, Ru-Ping Lin
https://arxiv.org/abs/2509.03070 https://arxiv…

YOLO-based Bearing Fault Diagnosis With Continuous Wavelet Transform
This letter proposes a YOLO-based framework for spatial bearing fault diagnosis using time-frequency spectrograms derived from continuous wavelet transform (CWT). One-dimensional vibration signals are first transformed into time-frequency spectrograms using Morlet wavelets to capture transient fault signatures. These spectrograms are then processed by YOLOv9, v10, and v11 models to classify fault types. Evaluated on three benchmark datasets, including Case Western Reserve University (CWRU), Pad…

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
https://arxiv.org/abs/2510.02328

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
Medical Multimodal Large Language Models (Med-MLLMs) have shown great promise in medical visual question answering (Med-VQA). However, when deployed in low-resource settings where abundant labeled data are unavailable, existing Med-MLLMs commonly fail due to their medical reasoning capability bottlenecks: (i) the intrinsic reasoning bottleneck that ignores the details from the medical image; (ii) the extrinsic reasoning bottleneck that fails to incorporate specialized medical knowledge. To addr…

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari
https://…

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
As global e-commerce platforms continue to expand, companies are entering new markets where they encounter cold-start challenges due to limited human labels and user behaviors. In this paper, we share our experiences in Coupang to provide a competitive cold-start performance of relevance matching for emerging e-commerce markets. Specifically, we present a Cold-Start Relevance Matching (CSRM) framework, utilizing a multilingual Large Language Model (LLM) to address three challenges: (1) activati…

Orbital hybridization in graphene-based artificial atoms
Yue Mao, Hui-Ying Ren, Xiao-Feng Zhou, Hao Sheng, Yun-Hao Xiao, Yu-Chen Zhuang, Ya-Ning Ren, Lin He, Qing-Feng Sun
https://arxiv.org/abs/2509.04012

Orbital hybridization in graphene-based artificial atoms
Intraatomic orbital hybridization and interatomic bond formation are the two fundamental processes when real atoms are condensed to form matter. Artificial atoms mimic real atoms by demonstrating discrete energy levels attributable to quantum confinement. As such, they offer a solid-state analogue for simulating intraatomic orbital hybridization and interatomic bond formation. Signatures of interatomic bond formation has been extensively observed in various artificial atoms. However, direct evi…

Noisy Label Refinement with Semantically Reliable Synthetic Images
Yingxuan Li, Jiafeng Mao, Yusuke Matsui
https://arxiv.org/abs/2509.04298 https://arxiv.o…

Noisy Label Refinement with Semantically Reliable Synthetic Images
Semantic noise in image classification datasets, where visually similar categories are frequently mislabeled, poses a significant challenge to conventional supervised learning approaches. In this paper, we explore the potential of using synthetic images generated by advanced text-to-image models to address this issue. Although these high-quality synthetic images come with reliable labels, their direct application in training is limited by domain gaps and diversity constraints. Unlike convention…

Jeanty, Crosby, Powers-Johnson and Pola-Mao Postgame Media https://www.raiders.com/video/ashton-jeanty-maxx-crosby-jackson-powers-johnson-isaiah-pola-mao-postgame-media-week-4

Robot Learning from Any Images
Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang
https://arxiv.org/abs/2509.22970

Robot Learning from Any Images
We introduce RoLA, a framework that transforms any in-the-wild image into an interactive, physics-enabled robotic environment. Unlike previous methods, RoLA operates directly on a single image without requiring additional hardware or digital assets. Our framework democratizes robotic data generation by producing massive visuomotor robotic demonstrations within minutes from a wide range of image sources, including camera captures, robotic datasets, and Internet images. At its core, our approach …

Älskar AF. Den äldsta kunde få en lärlingsplats givet att ägarna fick stöd de första 6 månaderna när de lär upp henne innan de anställer - ett fast jobb i horizonten mao. Vill AF hjälpa till? Nix, de vill att hon ska gå söka-jobb-kurs istället så att jobbet är borta när hon är färdig. Hur kan systemet vara så jävla trasigt?

Development of numerical methods for nonlinear hybrid stochastic functional differential equations with infinite delay
Guozhen Li, Xiaoyue Li, Xuerong Mao
https://arxiv.org/abs/2509.00475

Development of numerical methods for nonlinear hybrid stochastic functional differential equations with infinite delay
This paper focuses on explicit numerical approximations for nonlinear hybrid stochastic functional differential equations with infinite delay. Precisely, explicit truncated Euler-Maruyama schemes are proposed, $2p$th $(p \ge 1)$ moment boundedness and strong convergence of the numerical solutions are obtained. Under slightly stronger conditions, the $1/2$ order convergence rate is established. Furthermore, the exponential stability, including moment and almost sure exponential stability, is exa…

Single spin asymmetry $A _ { U L } ^ { \sin ( 3 \phi _ { h } - \phi_{ R } ) }$ in dihadron production in SIDIS
Lei Tan, Gang Li, Mao Song, Xuan Luo
https://arxiv.org/abs/2509.04033

Single spin asymmetry $A _ { U L } ^ { \sin ( 3 ϕ_ { h } - ϕ_{ R } ) }$ in dihadron production in SIDIS
In the field of particle physics, the phenomenon of dihadron production in semi-inclusive deep inelastic scattering (SIDIS) process has always been a significant focus. This paper focuses on the single longitudinal spin asymmetry $A_{UL }^{\sin(3ϕ_{h}-ϕ_{R})}$ in the dihadron production during this process and combines the transverse-momentum-dependent dihadron fragmentation function (DiFF) $H_1^{\perp}$ to deeply analyze its underlying mechanism. Here, the involved DiFF $H_1^{\perp}$ is the …

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zi…

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents LimiX, the first installment of our large structured-data models (LDMs). LimiX treats structured data as a joint distribution over variables and missingness, thus capable of addressing a wide range of tabular tasks through query-based conditional prediction via a single model. LimiX is pretrained using masked joint-distri…

Raiders Urged to Sign 32-INT All-Pro to Replace Struggling Starter https://heavy.com/sports/nfl/las-vegas-raiders/justin-simmons-replace-isaiah-pola-mao/?adt_ei=[email]

Spin Splitting Nernst Effect in Altermagnet
Xing-Jian Yi, Yue Mao, Xiancong Lu, Qing-Feng Sun
https://arxiv.org/abs/2509.03822 https://arxiv.org/pdf/2509.0…

Spin Splitting Nernst Effect in Altermagnet
Altermagnet is a distinctive magnet phase, which has spin-split energy band but with zero net magnetic moment. In this paper, we propose that altermagnet behaves spin splitting Nernst effect: Under a longitudinal temperature gradient, the electrons with opposite spins tend to split oppositely in the transverse direction, thus generating a transverse spin current. The spin splitting Nernst effect is understood from the contribution of the longitudinal wave vector to the transverse group velocity…

Interference Management for Integrated Sensing and Communications: A Multiple Access Perspective
Kexin Chen, Yijie Mao, Wonjae Shin, Bruno Clerckx, Christos Masouros
https://arxiv.org/abs/2509.02352

Interference Management for Integrated Sensing and Communications: A Multiple Access Perspective
The integrated sensing and communication (ISAC) technique has been considered a key enabler for 6G radio access networks. ISAC fulfills a brand new paradigm shift in wireless networks via the seamless interplay between communication and sensing within a unified network. However, the tight integration of these functionalities inevitably gives rise to various types of interference, posing significant challenges to existing ISAC waveform designs and rendering interference management a critical con…

Dynamical theory of chiral-induced spin selectivity in electron donor-chiral molecule-acceptor systems
Tian-Yi Zhang, Yue Mao, Ai-Min Guo, Qing-Feng Sun
https://arxiv.org/abs/2509.04020

Dynamical theory of chiral-induced spin selectivity in electron donor-chiral molecule-acceptor systems
The chiral-induced spin selectivity (CISS) effect, a phenomenon where the chirality of molecules imparts significant spin selectivity to electron transfer processes, has garnered increasing interest among the chemistry, biology, and physics communities. Although this effect was discovered more than a decade ago, the dynamical process of how electron spin polarization is caused by chiral molecules is still unclear. Here, we propose a dynamical theory of electron transfer in donor-chiral molecule…

SSR-ZSON: Zero-Shot Object Navigation via Spatial-Semantic Relations within a Hierarchical Exploration Framework
Xiangyi Meng, Delun Li, Zihao Mao, Yi Yang, Wenjie Song
https://arxiv.org/abs/2509.24763

SSR-ZSON: Zero-Shot Object Navigation via Spatial-Semantic Relations within a Hierarchical Exploration Framework
Zero-shot object navigation in unknown environments presents significant challenges, mainly due to two key limitations: insufficient semantic guidance leads to inefficient exploration, while limited spatial memory resulting from environmental structure causes entrapment in local regions. To address these issues, we propose SSR-ZSON, a spatial-semantic relative zero-shot object navigation method based on the TARE hierarchical exploration framework, integrating a viewpoint generation strategy bal…

Adaptive AI Model Partitioning over 5G Networks
Tam Thanh Nguyen, Tuan Van Ngo, Long Thanh Le, Yong Hao Pua, Mao Van Ngo, Binbin Chen, Tony Q. S. Quek
https://arxiv.org/abs/2509.01906

Adaptive AI Model Partitioning over 5G Networks
Mobile devices increasingly rely on deep neural networks (DNNs) for complex inference tasks, but running entire models locally drains the device battery quickly. Offloading computation entirely to cloud or edge servers reduces processing load at devices but poses privacy risks and can incur high network bandwidth consumption and long delays. Split computing (SC) mitigates these challenges by partitioning DNNs between user equipment (UE) and edge servers. However, 5G wireless channels are time-v…

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou, Yen-Ting Liu
https://arxiv.org/abs/2510.01914

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it difficult to manage product quality. In this paper, we propose an automated defect detection system for the dual in-line package (DIP) that is widely used in industry, using digital camera optics and a deep learning (DL)-based model. The two most common defect categories of DIP are examined: (1) surface defects, and (…

Tunneling Magnetoresistance Effect in Altermagnets
Yu-Fei Sun, Yue Mao, Yu-Chen Zhuang, Qing-Feng Sun
https://arxiv.org/abs/2509.04015 https://arxiv.org/pd…

Tunneling Magnetoresistance Effect in Altermagnets
As an unconventional magnet, altermagnetism attracts great interest in condensed matter physics and applies a new research platform for the spintronics. Since the tunneling magnetoresistance (TMR) effect is an important research aspect in spintronics, we theoretically propose a universal altermagnetic sandwich device to achieve the TMR effect and investigate its transport properties. Using the nonequilibrium Green's function method and the Landauer-Büttiker formula, we obtain the conductance a…

UniMIC: Token-Based Multimodal Interactive Coding for Human-AI Collaboration
Qi Mao, Tinghan Yang, Jiahao Li, Bin Li, Libiao Jin, Yan Lu
https://arxiv.org/abs/2509.22570 https:/…

UniMIC: Token-Based Multimodal Interactive Coding for Human-AI Collaboration
The rapid progress of Large Multimodal Models (LMMs) and cloud-based AI agents is transforming human-AI collaboration into bidirectional, multimodal interaction. However, existing codecs remain optimized for unimodal, one-way communication, resulting in repeated degradation under conventional compress-transmit-reconstruct pipelines. To address this limitation, we propose UniMIC, a Unified token-based Multimodal Interactive Coding framework that bridges edge devices and cloud AI agents. Instead …

NFL Announces Punishment for Two Raiders Players https://heavy.com/sports/nfl/las-vegas-raiders/nfl-isaiah-pola-mao-devin-white/?adt_ei=[email]

OceanGym: A Benchmark Environment for Underwater Embodied Agents
Yida Xue, Mingjun Mao, Xiangyuan Ru, Yuqi Zhu, Baochang Ren, Shuofei Qiao, Mengru Wang, Shumin Deng, Xinyu An, Ningyu Zhang, Ying Chen, Huajun Chen
https://arxiv.org/abs/2509.26536

OceanGym: A Benchmark Environment for Underwater Embodied Agents
We introduce OceanGym, the first comprehensive benchmark for ocean underwater embodied agents, designed to advance AI in one of the most demanding real-world environments. Unlike terrestrial or aerial domains, underwater settings present extreme perceptual and decision-making challenges, including low visibility, dynamic ocean currents, making effective agent deployment exceptionally difficult. OceanGym encompasses eight realistic task domains and a unified agent framework driven by Multi-modal…

OmniD: Generalizable Robot Manipulation Policy via Image-Based BEV Representation
Jilei Mao, Jiarui Guan, Yingjuan Tang, Qirui Hu, Zhihang Li, Junjie Yu, Yongjie Mao, Yunzhe Sun, Shuang Liu, Xiaozhu Ju
https://arxiv.org/abs/2508.11898

OmniD: Generalizable Robot Manipulation Policy via Image-Based BEV Representation
The visuomotor policy can easily overfit to its training datasets, such as fixed camera positions and backgrounds. This overfitting makes the policy perform well in the in-distribution scenarios but underperform in the out-of-distribution generalization. Additionally, the existing methods also have difficulty fusing multi-view information to generate an effective 3D representation. To tackle these issues, we propose Omni-Vision Diffusion Policy (OmniD), a multi-view fusion framework that synthe…

Phase transitions in quantum dot-Majorana zero mode coupling systems
Yue Mao, Qing-Feng Sun
https://arxiv.org/abs/2509.04002 https://arxiv.org/pdf/2509.040…

Phase transitions in quantum dot-Majorana zero mode coupling systems
The magnetic doublet ground state (GS) of a quantum dot (QD) could be changed to a spin-singlet GS by coupling to a superconductor. In analogy, here we study the GS phase transitions in QD-Majorana zero mode (MZM) coupling systems: GS behaves phase transition versus intra-dot energy level and QD-MZM coupling strength. The phase diagrams of GS are obtained, for cases with and without Zeeman term. Along with the phase transition, we also study the change of spin feature and density of states. The…

Ashton Jeanty, Maxx Crosby, Brock Bowers, Jakobi Meyers and Isaiah Pola-Mao Postgame Media | Week 1 https://www.youtube.com/watch?v=1lw_0j0hxwg

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
https://arxiv.org/abs/2508.20674 https://…

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research. This reciprocal relationship motivates a comprehensive review of the intersections between AI and Cognitive Science. By synthesizing key contributions from both perspectives, we observe that AI pr…

Carroll's Excitement About One Position Group Continues to Increase https://www.si.com/nfl/raiders/las-vegas-eric-stokes-pete-carroll-jeremy-chinn-isaiah-pola-mao

Atomic collapse of high-order singular potentials in graphene
Yu-Chen Zhuang, Yue Mao, Qing-Feng Sun
https://arxiv.org/abs/2509.03921 https://arxiv.org/pdf…

Atomic collapse of high-order singular potentials in graphene
Artificial atoms in graphene hosting a series of quasi-bound states can serve as an excellent platform to explore atomic collapse and become a basis to design novel graphene nanodevices. We theoretically study behaviors of massless Dirac fermions in singular potentials with a general form of 1/r^γ. Different from the Coulomb potential that demands a supercritical charge Z > Zc, a high-order singular potential (γ > 1) is found to in principle induce atomic collapse with an infinitesimal charge…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[11/11]:
- Vidar: Embodied Video Diffusion Model for Generalist Manipulation
Yao Feng, Hengkai Tan, Xinyi Mao, Chendong Xiang, Guodong Liu, Shuhe Huang, Hang Su, Jun Zhu

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Xingyu Fu, Siyi Liu, Yinuo Xu, Pan Lu, Guangqiuse Hu, Tianbo Yang, Taran Anantasagar, Christopher Shen, Yikai Mao, Yuanzhe Liu, Keyush Shah, Chung Un Lee, Yejin Choi, James Zou, Dan Roth, Chris Callison-Burch
https://arxiv.org/abs/2509.22646

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have advanced rapidly, a critical dimension -- whether humans can detect deepfake traces within a generated video, i.e., spatiotemporal grounded visual artifacts that reveal a video as machine generated -- has been largely overlooked. We introduce DeeptraceReward, the first fine-grained, spatially- and temporally- aware benchmark that annotates human-perceived fake traces for video generat…

Raiders report: Team’s ‘X-men’ embrace different roles on defense https://www.reviewjournal.com/sports/raiders/raiders-report-teams-x-men-embrace-different-roles-on-defense-3532852/

Patrick Graham: '[Isaiah Pola-Mao] has developed into a leader' https://www.raiders.com/video/patrick-graham-raiders-week-3-vs-commanders-presser-nfl-2025

Raiders' Safety Position in Good Shape Heading into Season https://www.si.com/nfl/raiders/isaiah-pola-mao-las-vegas-training-camp-chris-smith-jeremy-chinn