Transformer-based Models
PulseAugur coverage of Transformer-based Models — every cluster mentioning Transformer-based Models across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Time Series Models Evaluated for US Influenza Forecasting
A new research paper evaluates various time series forecasting models for predicting seasonal influenza in the United States. The study found that a mixture-of-experts model, which combines multiple pretrained forecaste…
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AI models' attention topologies mapped to human brain networks
Researchers have developed a novel method to compare the organizational properties of transformer-based AI models by mapping their attention topologies to human brain networks. This approach allows for modality-agnostic…
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Legal-specific AI models outperform generalist ones in contract classification
A new study published on arXiv evaluates the performance of transformer-based models specifically customized for legal tasks against generalist models in classifying legal contracts. The research found that legal-specif…
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LeapTS framework reframes time series forecasting as adaptive scheduling
Researchers have introduced LeapTS, a new framework that reframes time series forecasting as an adaptive scheduling problem. This approach moves away from fixed mappings to a dynamic process where a hierarchical control…
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AI models learn physics of motion-to-radar spectrograms, study finds
Researchers have developed a new framework to assess whether data-driven models that convert motion capture data to radar spectrograms are learning the underlying physics. This framework uses two metrics to measure the …
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Directed Social Regard: Surfacing Targeted Advocacy, Opposition, Aid, Harms, and Victimization in Online Media
Researchers have developed a new approach called Directed Social Regard (DSR) to analyze sentiment in online text. Unlike traditional sentiment analysis tools that provide a single positive, neutral, or negative score, …
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Indonesian students show positive sentiment towards AI in higher education
A new study analyzed Indonesian student sentiment regarding AI adoption in higher education, comparing traditional machine learning with Transformer-based deep learning models. The research utilized a dataset of 2,295 l…