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emergent symbolic structure neural networks paper

The Emergent Symbolic Structure of Artificial Neural Networks

4 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Tom McCoy Shubhendu Trivedi

“Work done with @paulsoulos.bsky.social, @tallinzen.bsky.social, and Paul Smolensky For much more, see our paper! arxiv.org/abs/2608.29530 12/12”

4 experts discussed this · 24 posts
Tom McCoy: 🤖🧠NEW PAPER🧠🤖 (The result of an 8-year project!) LLMs seem very different from symbolic systems. Yet LLMs excel in symbolic domains (e.g., language/code/math). How do they do it? Our finding: LLM r…
Tom McCoy: Paper: arxiv.org/abs/2608.29530 We consider a variety of neural networks that perform seemingly-symbolic tasks, from small-scale models trained on simple list-manipulation tasks to LLMs performing …
Tom McCoy: Our hypothesis: The networks succeed on these tasks by implicitly building symbolic structure in vector space. What makes this hypothesis testable is the Tensor Product Representation (TPR) formali…
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Primary source arxiv.org ↗