The shift from traditional search to AI-powered discovery is no longer future talk — it’s reshaping marketing right now. Brands that once optimized for Google rankings must now fight for citations and recommendations inside ChatGPT, Perplexity, and other generative engines. Fresh off research into the LLM marketing landscape, Olayimika Oyebanji sat down with ICODA co-founder and CEO Vlad Pivnev to discuss the real opportunities and hard challenges of Generative Engine Optimization, the limits of measurement in zero-click visibility, […]

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arXiv:2601.20037v1 Announce Type: new Abstract: Despite the ubiquity of tabular data in high-stakes domains, traditional deep learning architectures often struggle to match the performance of gradient-boosted decision trees while maintaining scientific interpretability. Standard neural networks typically treat features as independent entities, failing to exploit the inherent manifold structural dependencies that define tabular distributions. We propose Structural Compositional Function Networks (StructuralCFN), a novel architecture that imposes a Relation-Aware Inductive Bias via a differentiable structural prior. StructuralCFN explicitly models each […]

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arXiv:2601.10925v1 Announce Type: new Abstract: Automated interlinear gloss prediction with neural networks is a promising approach to accelerate language documentation efforts. However, while state-of-the-art models like GlossLM achieve high scores on glossing benchmarks, user studies with linguists have found critical barriers to the usefulness of such models in real-world scenarios. In particular, existing models typically generate morpheme-level glosses but assign them to whole words without predicting the actual morpheme boundaries, making the predictions less interpretable and thus untrustworthy […]

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arXiv:2603.25883v1 Announce Type: new Abstract: This article revisits the widely studied problem of disinformation and related phenomena in online social networks (OSNs) by reframing it as a broader problem of misrepresentation. While disinformation is commonly understood as the intentional spread of false content, its meaning is applied inconsistently and often remains narrowly content-focused. This obscures other forms of manipulation, such as coordinated behavior that distorts the visibility, popularity or perceived legitimacy of actors and discourses without altering content […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Feature Selection for Imbalanced Datasets Using Pearson Distance and KL Divergence By @snasibian [ 5 Min read ] A model-free method using statistical distance metrics like Pearson chi-squared and KL divergence to identify important features in highly imbalanced datasets. Read More. Your User Is […]

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