Author

Masahiro Kaneko

h-index 3 View on Semantic Scholar

We have 1 of 14 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Jul 2026

In-Context Learning as Implicit Policy Gradient

It is shown that score-conditioned In-Context Learning (ICL) admits a structural correspondence to policy gradient optimization, and an exact upper bound on the distribution shift induced by a bounded attention update is derived, yielding a trust-region-like analogy to KL-constrained policy optimization.

Masahiro Kaneko, Timothy Baldwin · 0 citations