In-context learning biases hidden representations toward low-frequency eigenvectors of a reweighted graph Laplacian, a phenomenon the authors prove and test.
Spectral and algebraic graph theory, incomplete draft, dated december 4, 2019,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Provable Low-Frequency Bias of In-Context Learning of Representations
In-context learning biases hidden representations toward low-frequency eigenvectors of a reweighted graph Laplacian, a phenomenon the authors prove and test.