Abstract: Aiming to ensure the feasibility of the backpropagation training of feedforward threshold neural networks, each hidden unit layer is designed to be composed of a sufficiently large number of ...

RLP uses a single network (shared parameters) to (1) sample a CoT policy 𝜋 𝜃 ( 𝑐 𝑡 ∣ 𝑥 < 𝑡 ) π θ (c t ∣x <t ) and then (2) score the next token 𝑝 𝜃 ( 𝑥 𝑡 ∣ 𝑥 < 𝑡 , 𝑐 𝑡 ) p θ (x t ∣x <t ...

When OpenAI’s GPT-4 and other large language models (LLMs) first awed the public with fluent text generation, skeptics were quick to point out that producing convincing sentences isn’t the same as ...

Thank you for your excellent work. I do have a small question, though. After reviewing your code, I noticed that the losses returned in get_loss_rec and get_loss_tev seem to have requires_grad=False.

Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains ...

In a Monday memo from OPM director Scott Kupor, the guidance called on agencies to utilize both existing monetary and non-monetary awards programs to ensure “only those individuals who have ...

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State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen ...

Summary: New research reveals how synaptic connections in the cerebral cortex can strengthen during sleep, offering insight into how the brain continues learning even while we rest. Using computer ...