Author

Timothy Baldwin

View on Semantic Scholar

1 paper indexed here

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