Spearman's rank correlation coefficient
PulseAugur coverage of Spearman's rank correlation coefficient — every cluster mentioning Spearman's rank correlation coefficient across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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Richer video representations not always better for human-aligned urban engagement
A new research paper titled "Sidewalk Moments" investigates whether more detailed visual representations lead to better alignment with human perception of urban engagement. Using city-walk videos, researchers found that…
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New framework Code-MUE measures uncertainty in code LLMs
Researchers have developed Code-MUE, a novel framework designed to measure the uncertainty of code Large Language Models (LLMs). This purely black-box system utilizes execution-based Semantic Interaction Graphs to asses…
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Rank-Then-Act framework learns control policies without environment rewards
Researchers have developed a novel framework called Rank-Then-Act (RTA) that enables reinforcement learning agents to learn control policies from video demonstrations without relying on explicit environmental rewards. R…
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LLM search evaluation improved with historical user data · arXiv
Researchers have developed a new method for evaluating search engine results using Large Language Models (LLMs) that incorporates historical user interaction data. This "behavior-grounded" approach uses Query-Relevance-…
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New pipeline enhances ASR robustness, cutting word error rate by 55%
Researchers have developed a novel dual-gate diagnostic pipeline to enhance the robustness of Automatic Speech Recognition (ASR) systems against adversarial and benign perturbations. This pipeline, featuring a Two-Sided…
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Research paper highlights limitations of ray-tracing for urban RF simulations
A new research paper explores the limitations of ray-tracing simulations for learning-based radio frequency (RF) tasks in urban environments. The study, conducted in Rome, found that while precise geometry and antenna m…
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LLMs struggle to measure student proficiency differences in assessments
A new study published on arXiv investigates the ability of large language models (LLMs) to measure item discrimination in educational assessments. Researchers evaluated 42 LLMs using two methods: direct prediction of di…
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New dataset XPASS-Vis enables cross-domain personalized image aesthetic assessment
Researchers have introduced XPASS-Vis, a novel dataset designed to explore personalized image aesthetic assessment across different visual domains. The dataset includes over 6,500 images from art, fashion, and landscape…
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MTCurv deep learning maps microtubule curvature in noisy microscopy images
Researchers have developed MTCurv, a novel deep learning framework designed to directly map microtubule curvature from noisy fluorescence microscopy images. This approach bypasses traditional segmentation steps, which a…