For years, enterprise content management was largely a publication tool. How do you get the right content, in the right format, to the right channel, without breaking workflows that span dozens of markets and hundreds of contributors? The answer was usually a combination of manual processes, siloed systems, and large coordination teams that grew historically — functional, but far from efficient. That accumulated complexity is now the limiting factor, and the pressure is coming from two directions at […]

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arXiv:2602.16843v1 Announce Type: new Abstract: Evaluating factual consistency is essential for reliable text summarization, particularly in high-stakes domains such as healthcare and news. However, most existing evaluation metrics overlook Bangla, a widely spoken yet under-resourced language, and often depend on reference summaries. We introduce BanglaSummEval, a reference-free, question-answering-based framework for evaluating factual consistency in Bangla summarization. The proposed method assesses both factual accuracy and content coverage through automatically generated questions and answers derived from the source document and […]

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arXiv:2605.02901v1 Announce Type: new Abstract: This work aims to establish an end-to-end system for tracking of physical 3D objects for virtual reality (VR) applications. We focus on training applications requiring real-time tracking of the position of small physical objects and their reflection in VR space. Out goal is to perform object tracking in a “plug and play” manner, without using complex systems with quite large tracking devices or manually implementing object tracking. We therefore propose a system for […]

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arXiv:2603.25758v1 Announce Type: new Abstract: Diffusion models have significantly reshaped the field of generative artificial intelligence and are now increasingly explored for their capacity in discriminative representation learning. Diffusion Transformer (DiT) has recently gained attention as a promising alternative to conventional U-Net-based diffusion models, demonstrating a promising avenue for downstream discriminative tasks via generative pre-training. However, its current training efficiency and representational capacity remain largely constrained due to the inadequate timestep searching and insufficient exploitation of DiT-specific feature […]

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arXiv:2601.03764v1 Announce Type: cross Abstract: We analyze neural scaling laws in a solvable model of last-layer fine-tuning where targets have intrinsic, instance-heterogeneous difficulty. In our Latent Instance Difficulty (LID) model, each input’s target variance is governed by a latent “precision” drawn from a heavy-tailed distribution. While generalization loss recovers standard scaling laws, our main contribution connects this to inference. The pass@$k$ failure rate exhibits a power-law decay, $k^{-beta_text{eff}}$, but the observed exponent $beta_text{eff}$ is training-dependent. It grows with […]

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Accurately and efficiently solving nonlinear differential equations is crucial for modeling dynamic behavior across science and engineering. Physics-Informed Neural Networks (PINNs) have emerged as a powerful solution that embeds physical laws in training by enforcing equation residuals. However, these struggle to model nonlinear dynamics, suffering from limited generalization across problems and long training times. To address these limitations, we propose a perturbation-guided transfer learning framework for PINNs (PTL-PINN), which integrates perturbation theory with transfer learning to efficiently solve […]

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Processing video is one of the heaviest tasks a web application can handle. If you are still running shell_exec(‘ffmpeg …’) inside a Controller, you are likely blocking your PHP-FPM threads, frustrating your users, and risking timeouts. In 2026, we don’t do that. We treat video processing as an asynchronous, distributed pipeline. With the release of Symfony 7.4, we have new tools that make this robust and native. We now have a dedicated #[Video] validation constraint, native support for shared directories, and the mature Messenger component to […]

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Epistemic status: All of the western canon must eventually be re-invented in a LessWrong post. So today we are re-inventing federalism. Once upon a time there was a great king. He ruled his kingdom with wisdom and economically literate policies, and prosperity followed. Seeing this, the citizens of nearby kingdoms revolted against their leaders, and organized to join the kingdom of this great king. While the kingdom’s ability to defend itself against external threats grew with each person […]

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