arXiv:2403.03208v3 Announce Type: replace Abstract: Inspired by the concept of active learning, we propose active inference$unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection. Assuming a budget on the number of labels that can be collected, the methodology uses a machine learning model to identify which data points would be most beneficial to label, thus effectively utilizing the budget. It operates on a simple yet powerful intuition: prioritize the collection of labels for data points where the model […]

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arXiv:2601.03272v1 Announce Type: new Abstract: The versatility of Large Language Models (LLMs) in vertical domains has spurred the development of numerous specialized evaluation benchmarks. However, these benchmarks often suffer from significant semantic redundancy and impose high computational costs during evaluation. Existing compression methods, such as tinyBenchmarks depend critically on correctness labels from multiple historical models evaluated on the full test set, making them inapplicable in cold-start scenarios, such as the introduction of a new task, domain, or model […]

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arXiv:2601.09876v1 Announce Type: new Abstract: Real-world clinical text-to-SQL requires reasoning over heterogeneous EHR tables, temporal windows, and patient-similarity cohorts to produce executable queries. We introduce CLINSQL, a benchmark of 633 expert-annotated tasks on MIMIC-IV v3.1 that demands multi-table joins, clinically meaningful filters, and executable SQL. Solving CLINSQL entails navigating schema metadata and clinical coding systems, handling long contexts, and composing multi-step queries beyond traditional text-to-SQL. We evaluate 22 proprietary and open-source models under Chain-of-Thought self-refinement and use rubric-based […]

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Authentication remains one of the most misunderstood and poorly implemented aspectsof modern backend systems. n Not because frameworks are weak — but because security requires correct design decisions, not just dependencies. In this article, we’ll walk through how to properly secure Spring Boot APIs using Spring Security and JWT, with: Correct password hashing Stateless authentication A custom JWT filter Clean separation of responsibilities Fully working, stable code 1. Why Authentication Still Breaks in Modern Applications Despite mature frameworks, […]

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Most AI agents today have a fundamental amnesia problem. Deploy one to browse the web, resolve GitHub issues, or navigate a shopping platform, and it approaches every single task as if it has never seen anything like it before. No matter how many times it has stumbled on the same type of problem, it repeats the same mistakes. Valuable lessons evaporate the moment a task ends. A team of researchers from Google Cloud AI, the University of Illinois […]

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The European Union Council pushed for a dangerous plan to scan encrypted messages, and once again, people around the world loudly called out the risks, leading to the current Danish presidency to withdraw the plan.  EFF has strongly opposed Chat Control since it was first introduced in 2022. The zombie proposal comes back time and time again, and time and time again, it’s been shot down because there’s no public support. The fight is delayed, but not over. […]

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arXiv:2604.18771v1 Announce Type: new Abstract: We present a computational study of diffusion synthetic acceleration (DSA) for the monoenergetic, isotropically scattering $S_N$ transport equations, discretised in space by a polytopic discontinuous Galerkin method. Using a discrete ordinates angular discretisation, we construct the DSA correction with an interior-penalty diffusion operator and compare a classical symmetric interior penalty (SIP) formulation with a modified interior penalty (MIP) variant, together with homogeneous Dirichlet and Marshak (Robin) diffusion boundary conditions imposed weakly in the […]

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