BabelNet
PulseAugur coverage of BabelNet — every cluster mentioning BabelNet across labs, papers, and developer communities, ranked by signal.
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New MABPD method uses LLM agents to detect media bias via debate
Researchers have developed a new method called MABPD (Multi-Agent Bias Probing & Detection) that uses three specialized LLM agents to analyze news articles for subtle linguistic cues indicative of media bias. These agen…
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ProTAGAD model tackles anomaly detection in text-attributed graphs
Researchers have developed ProTAGAD, a novel foundation model designed for anomaly detection in Text-Attributed Graphs (TAGs). This model addresses the challenge of jointly analyzing topological structures and textual s…
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New HierBias model improves media bias detection using contextual signals
Researchers have developed HierBias, a novel hierarchical model designed to detect media bias by considering the context across sentences rather than analyzing each sentence in isolation. This approach theoretically red…
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AI research defines low-resource languages for better digital representation
Two related papers propose methodologies to address the digital divide caused by low-resource languages in the Semantic Web. The research focuses on analyzing language distribution within Linked Open Data Knowledge Grap…
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New contrastive learning method improves skeleton-based action localization
Researchers have developed a new self-supervised pretraining method called Skeleton-Snippet Contrastive Learning for improving temporal action localization in skeleton-based data. This approach uses a snippet discrimina…