Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B
Recent work has shown that large language models (LLMs) exhibit strong numerical sequence modeling capabilities and show promise in time-series prediction. While LLMs display in-context learning capabilities, the mechanisms with which they accomplish time-series prediction remain unclear. Specifically, whether they tru...
Rahul Chowdhury, Timothy Rupprecht, Senhao Cao et al.
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