3 papers
cs.CL2026
Modeling Language as a Sequence of Thoughts
Nasim Borazjanizadeh, James McClelland
Transformer language models can generate strikingly natural text by modeling language as a sequence of tokens, but by relying primarily on surface-level co-occurrence statistics th…
cs.NE2025
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
Shaunak Bhandarkar, James L. McClelland
Many models used in artificial intelligence and cognitive science rely on multi-element patterns stored in "slots" - dedicated storage locations - in a digital computer. As biologi…
cs.LG2025
Emergent Symbol-like Number Variables in Artificial Neural Networks
Satchel Grant, Noah D. Goodman, James L. McClelland
What types of numeric representations emerge in neural systems, and what would a satisfying answer to this question look like? In this work, we interpret Neural Network (NN) soluti…