Active Learners as Efficient PRP Rerankers
Paper • 2605.14236 • Published • 98
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Ingenieria en Inteligencia Artificial
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Active Learners as Efficient PRP Rerankers
A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification
lucianodelcorro
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paper to Daily Papers 23 days ago
lucianodelcorro
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papers to Daily Papers 5 months ago
AntonioTepsich
posted an update over 1 year ago
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454
Convolutional KAN - Feedback before send to a journal +700⭐
Repository: https://github.com/AntonioTepsich/Convolutional-KANs
After publishing the Convolutional Kolmogorov-Arnold Networks, we were mentioned by the IEEE Spectrum, congratulated by the universities of Stanford, NorthWestern, Cornell, among others. Surpassing the +700⭐ and the paper was cited more than 12 times. We were presented with the opportunity to submit our idea to a journal to be formalised.
We know that CKANs have their problems due to the amount of computational power and ram memory it uses, but based on what we have what should we do to get a Q1 in a journal?
Paper: https://arxiv.org/pdf/2406.13155
Repository: https://github.com/AntonioTepsich/Convolutional-KANs
After publishing the Convolutional Kolmogorov-Arnold Networks, we were mentioned by the IEEE Spectrum, congratulated by the universities of Stanford, NorthWestern, Cornell, among others. Surpassing the +700⭐ and the paper was cited more than 12 times. We were presented with the opportunity to submit our idea to a journal to be formalised.
We know that CKANs have their problems due to the amount of computational power and ram memory it uses, but based on what we have what should we do to get a Q1 in a journal?
Paper: https://arxiv.org/pdf/2406.13155
AntonioTepsich
authored a
paper almost 2 years ago