arXiv:2601.15603v1 Announce Type: cross Abstract: Hierarchical Bayesian models are increasingly used in large, inhomogeneous complex network dynamical systems by modeling parameters as draws from a hyperparameter-governed distribution. However, theoretical guarantees for these estimates as the system size grows have been lacking. A critical concern is that hyperparameter estimation may diverge for larger networks, undermining the model’s reliability. Formulating the system’s evolution in a measure transport perspective, we propose a theoretical framework for estimating hyperparameters with mean-type observations, which […]

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arXiv:2603.02248v1 Announce Type: new Abstract: Table-text retrieval aims to retrieve relevant tables and text to support open-domain question answering. Existing studies use either early or late fusion, but face limitations. Early fusion pre-aligns a table row with its associated passages, forming “stars,” which often include irrelevant contexts and miss query-dependent relationships. Late fusion retrieves individual nodes, dynamically aligning them, but it risks missing relevant contexts. Both approaches also struggle with advanced reasoning tasks, such as column-wise aggregation and […]

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arXiv:2412.01212v2 Announce Type: replace Abstract: Several power-law critical properties involving different statistics in natural languages — reminiscent of scaling properties of physical systems at or near phase transitions — have been documented for decades. The recent rise of large language models has added further evidence and excitement by providing intriguing similarities with notions in physics such as scaling laws and emergent abilities. However, specific instances of classes of generative language models that exhibit phase transitions, as understood by […]

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arXiv:2603.08837v1 Announce Type: new Abstract: GPS and smartphones enable users to place location-based annotations, capturing rich environmental context. Previous research demonstrates that blind and low vision (BLV) people can use annotations to explore unfamiliar areas. However, current commercial systems allowing BLV users to create annotations have never been evaluated, and current GPS-based systems can deviate several meters. Motivated by high-accuracy visual positioning technology, we first conducted a formative study with 24 BLV participants to envision a more accurate […]

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Identifiability in representation learning is commonly evaluated using standard metrics (e.g., MCC, DCI, R^2) on synthetic benchmarks with known ground-truth factors. These metrics are assumed to reflect recovery up to the equivalence class guaranteed by identifiability theory. We show that this assumption holds only under specific structural conditions: each metric implicitly encodes assumptions about both the data-generating process (DGP) and the encoder. When these assumptions are violated, metrics become misspecified and can produce systematic false positives and false […]

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USDA Secretary Brooke Rollins promises “structural changes to SNAP” after Thanksgiving, following her controversial mass recertification proposal. But Cato’s Romina Boccia and Tyler Turman argue in a new blog post that the real problem isn’t paperwork—it’s incentives. lead , States have zero financial stake in preventing fraud because Washington pays 100% of the benefits costs. Boccia and Turman explain why block-granting SNAP and shifting fiscal responsibility to states would actually strengthen program integrity. If you’d like to set up an interview […]

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