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Found 3 papers, 1 papers with code
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
When provided with sufficient explanatory context, smaller Language Models have been shown to exhibit strong reasoning ability on challenging short-answer question-answering tasks where the questions are unseen in training.
Neuromodulation Gated Transformer
We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect.
A Theory for Knowledge Transfer in Continual Learning
Continual learning of a stream of tasks is an active area in deep neural networks.
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