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3,629 papers
The Spanish PEAS shows robust evidence for a three-dimensional structure, good reliability, and measurement invariance up to thresholds across age groups in Chilean adults.
DOI: 10.5281/zenodo.22283967Record set: EC-MECH campaign (EC-MECH-001 pilot + EC-MECH-002)Related to: EC-STORAGE-001, DOI 10.5281/zenodo.21299091 Research question: Can the coherence lifetime of an entangled multi-qubit state be predicted from the measured coherence losses of its individual qubits? Plain language summa...
Posterior Ontology Memory (POM) models uncertainty in the vocabulary used by a symbolic memory, rather than assuming that its semantic schema is fixed. It treats mappings from surface predicates to latent semantic categories as uncertain and carries that uncertainty into prediction. The model combines a partition prior...
Thermal infrared remote sensing has reached a turning point. A status audit completed for this review identifies 55 operational satellite platform deployments on 18 August 2026. The resulting dataset contains 174 named thermal infrared instrument designs mapped to 306 historical, operational and planned satellite platf...
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A task-oriented dialogue agent that simulates emergency call takers to prepare citizens for effective medical emergency communication and uses a finite-state machine as its dialogue policy and large language models for natural language understanding.
An adaptive evolutionary framework for TS search workflows that prioritizes completion of a target dataset over global algorithmic robustness and suggests that adaptive, LLM-driven evolutionary workflow optimization provides a transferable strategy for improving validated TS coverage in large-scale, failure-prone scien...
An automated, data quality-oriented preprocessing pipeline that rewrites radiology reports at the sentence level to reduce external references is developed and can serve as an effective preprocessing step for improving the suitability of chest X-ray report datasets for multimodal model development.
Vision-language models (VLMs) are increasingly used to measure urban change from repeated street-level imagery, and the results are often mapped for individual sample points. Such maps assume that a perception score changes only if the street does. We test this assumption with repeated Google Street View captures of un...
Along the way, an implementation bug in the own AKS baseline and a 0.74 point gap between two harnesses running the same published rules at the same budget show why these comparisons need to happen inside one controlled harness rather than across papers.
No post-training method achieves all three properties the authors would want from safe alignment at once: refusal that isn't concentrated in a few fragile components, safety gains that don't cost general capability, and safety behavior correctable through small, targeted edits.
This work introduces FrameBench, a benchmark grounded in frame semantics that test whether models distinguish the frames evoked by the same verb across contexts, and constructs the benchmark for English and Japanese using FrameNet-style resources and a generation-and-verification pipeline with native-speaker judgments.
An end-to-end sequence-to-sequence formulation and fine-tune mT5-small and mBART-50 on a synthetic corpus of up to 657,720 noisy-clean Tamil sentence pairs spanning ten error categories, showing that a Tamil-adapted instruction model does not transfer to specialised sentence-level correction without task-specific super...
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