Academic

Academic · 1 min

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft …

arXiv:2604.03344v1 Announce Type: new Abstract: Electricity theft and non-technical losses (NTLs) remain critical challenges in modern smart grids, causing significant economic losses and compromising grid …

AbdulQoyum A. Olowookere, Usman A. Oguntola, Ebenezer. Leke Odekanle, Maridiyah A. Madehin, Aisha A. Adesope

4 views Apr 7

Academic · 1 min

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, …

arXiv:2604.03336v1 Announce Type: new Abstract: BitNet b1.58 (Ma et al., 2024) demonstrates that large language models can operate entirely on ternary weights {-1, 0, +1}, …

Maharshi Savdhariya

17 views Apr 7

Academic · 1 min

Apparent Age Estimation: Challenges and Outcomes

arXiv:2604.03335v1 Announce Type: new Abstract: Apparent age estimation is a valuable tool for business personalization, yet current models frequently exhibit demographic biases. We review prior …

Justin Rainier Go, Lorenz Bernard Marqueses, Mikaella Kaye Martinez, John Kevin Patrick Sarmiento, Abien Fred Agarap

10 views Apr 7

Academic · 1 min

General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations

arXiv:2604.03321v1 Announce Type: new Abstract: Machine learning, especially physics-informed neural networks (PINNs) and their neural network variants, has been widely used to solve problems involving …

Genwei Ma, Ting Luo, Ping Yang, Xing Zhao

18 views Apr 7

Academic · 1 min

DRAFT: Task Decoupled Latent Reasoning for Agent Safety

arXiv:2604.03242v1 Announce Type: new Abstract: The advent of tool-using LLM agents shifts safety monitoring from output moderation to auditing long, noisy interaction trajectories, where risk-critical …

Lin Wang, Junfeng Fang, Dan Zhang, Fei Shen, Xiang Wang, Tat-Seng Chua

3 views Apr 7

Academic · 1 min

Scaling DPPs for RAG: Density Meets Diversity

arXiv:2604.03240v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding generation in external knowledge, yielding relevance responses that are aligned …

Xun Sun, Baiheng Xie, Li Huang, Qiang Gao

5 views Apr 7

Academic · 1 min

Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation

arXiv:2604.03233v1 Announce Type: new Abstract: The conservation of cultural heritage increasingly relies on integrating technological innovation with domain expertise to ensure effective monitoring and predictive …

Carmine Valentino, Federico Pichi, Francesco Colace, Dajana Conte, Gianluigi Rozza

19 views Apr 7

Academic · 1 min

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

arXiv:2604.04250v1 Announce Type: new Abstract: Modern Large Language Models (LLMs) rely on Transformer self-attention, which scales quadratically with sequence length. Recent linear-time alternatives, like State …

Dejan \v{C}ugalj, Aleksandar Jevremovic

5 views Apr 7

Academic · 1 min

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

arXiv:2604.04215v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) are emerging as a compelling alternative to dominant autoregressive models, replacing strictly sequential token generation …

Jingyi Yang, Yuxian Jiang, Xuhao Hu, Shuang Cheng, Biqing Qi, Jing Shao

19 views Apr 7

Academic · 1 min

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

arXiv:2604.04204v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in high-stakes domains, yet they expose only limited language settings, most notably "English …

Mir Tafseer Nayeem, Davood Rafiei

20 views Apr 7

Academic · 1 min

Position: Logical Soundness is not a Reliable Criterion for Neurosymbolic Fact-Checking with LLMs

arXiv:2604.04177v1 Announce Type: new Abstract: As large language models (LLMs) are increasing integrated into fact-checking pipelines, formal logic is often proposed as a rigorous means …

Jason Chan, Robert Gaizauskas, Zhixue Zhao

4 views Apr 7

Academic · 1 min

Many Preferences, Few Policies: Towards Scalable Language Model Personalization

arXiv:2604.04144v1 Announce Type: new Abstract: The holy grail of LLM personalization is a single LLM for each user, perfectly aligned with that user's preferences. However, …

Cheol Woo Kum, Jai Moondra, Roozbeh Nahavandi, Andrew Perrault, Milind Tambe, Swati Gupta

2 views Apr 7

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft …

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, …

Apparent Age Estimation: Challenges and Outcomes

General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations

DRAFT: Task Decoupled Latent Reasoning for Agent Safety

Scaling DPPs for RAG: Density Meets Diversity

Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

Position: Logical Soundness is not a Reliable Criterion for Neurosymbolic Fact-Checking with LLMs

Many Preferences, Few Policies: Towards Scalable Language Model Personalization

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