arXiv:2604.13041v1 Announce Type: new Abstract: Table Structure Recognition (TSR) requires the logical reasoning ability of large language models (LLMs) to handle complex table layouts, but current datasets are limited in scale and quality, hindering effective use of this reasoning capacity. We thus present TableNet dataset, a new table structure recognition dataset collected and generated through multiple sources. Central to our approach is the first LLM-powered autonomous table generation and recognition multi-agent system that we developed. The generation part […]

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After 35 years of multivendor storage work, I have learned that the real value is not slicing one box into smaller boxes. The real value is putting an intelligent control layer between applications and hardware so the business is no longer trapped by whichever vendor sold them the last shiny frame. Every few years, somebody asks a version of the same question: Is storage virtualization basically like VMware, where you take one piece of hardware and carve more […]

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AI-assisted coding has changed software development faster than most developers expected. In just a short time, many developers went from experimenting with prompting an AI to generate small snippets of code to attempting to build entire applications with AI agents. Two major approaches have emerged from this shift: Vibe Coding — directly prompting an AI model and iterating quickly Spec-Driven Development — using structured frameworks that break requirements into specifications, user stories, and tasks before the AI writes […]

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arXiv:2603.22445v1 Announce Type: new Abstract: This paper studies the problem of finite-time convergence to a prescribed safe set for nonlinear systems whose initial states violate the safety constraints. Existing Control Lyapunov-Barrier Functions (CLBFs) can enforce recovery to the safe set but may suffer from the issue of chattering and they do not explicitly consider control bounds. To address these limitations, we propose a new Control Barrier Function (CBF) formulation that guarantees finite-time convergence to the safe set while […]

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How is the OpenMind Reinforcement Learning Winter School? This is a 4-day winter school organized by the Openmind Research Institute, where Rich Sutton is based. It will be held in Kuala Lumpur, Malaysia, in late January. Website of the winter school: https://www.openmindresearch.org/winterschool2026 Has anyone else been admitted like me? Does anyone know more about this winter school? submitted by /u/Automatic_Good4382 [link] [comments]

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arXiv:2603.08835v1 Announce Type: new Abstract: The rapid adoption of LLM-based agentic systems has produced a rich ecosystem of frameworks (smolagents, LangGraph, AutoGen, CAMEL, LlamaIndex, i.a.). Yet existing benchmarks are model-centric: they fix the agentic setup and do not compare other system components. We argue that implementation decisions substantially impact performance, including choices such as topology, orchestration logic, and error handling. MASEval addresses this evaluation gap with a framework-agnostic library that treats the entire system as the unit of […]

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arXiv:2602.02571v1 Announce Type: new Abstract: We propose emph{Euler Mean Flows (EMF)}, a flow-based generative framework for one-step and few-step generation that enforces long-range trajectory consistency with minimal sampling cost. The key idea of EMF is to replace the trajectory consistency constraint, which is difficult to supervise and optimize over long time scales, with a principled linear surrogate that enables direct data supervision for long-horizon flow-map compositions. We derive this approximation from the semigroup formulation of flow-based models and […]

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The “Junior Dev with an AI” is a common trope in 2026: a developer who generates 500 lines of code in seconds, only to spend three days debugging the subtle logical fallacies buried within. But for the Senior Developer, the challenge isn’t just about speed—it’s about leverage. The goal of a senior engineer using Large Language Models (LLMs) isn’t to let the AI think for them; it’s to use the AI as a high-speed compiler for the “boring” […]

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As wireless systems evolve toward Beyond 5G (B5G), the adoption of cell-free (CF) millimeter-wave (mmWave) architectures combined with Reconfigurable Intelligent Surfaces (RIS) is emerging as a key enabler for ultra-reliable, high-capacity, scalable, and secure Industrial Internet of Things (IIoT) communications. However, safeguarding these complex and distributed environments against eavesdropping remains a critical challenge, particularly when conventional security mechanisms struggle to overcome scalability, and latency constraints. In this paper, a novel framework for detecting malicious users in RIS-enhanced cell-free […]

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