193 citations · 251 across the 5 of their papers we have counts for
5 papers
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
Ippei Fujisawa, Sensho Nobe, Hiroki Seto +5
Reasoning is central to a wide range of intellectual activities, and while the capabilities of large language models (LLMs) continue to advance, their performance in reasoning task…
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
Motoshige Sato, Kenichi Tomeoka, Ilya Horiguchi +3
Brain-computer interfaces (BCIs) hold great potential for aiding individuals with speech impairments. Utilizing electroencephalography (EEG) to decode speech is particularly promis…
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin, Robert Long, Eric Elmoznino +16
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and…
Permutation-equivariant neural networks applied to dynamics prediction
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski +2
The introduction of convolutional layers greatly advanced the performance of neural networks on image tasks due to innately capturing a way of encoding and learning translation-inv…
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
We present a loss function for neural networks that encompasses an idea of trivial versus non-trivial predictions, such that the network jointly determines its own prediction goals…