Author

Sayak Chakrabarti

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#artificial intelligence Preprint Oct 2026

RELACE: retrospective likelihood-based action credit estimation for long-horizon language agents

This work introduces RELACE, Retrospective Likelihood-based Action, a critic-free framework that integrates retrospective action assessment with state-conditioned advantage estimation, and uses this factor to reweight discounted task returns and construct local advantages by comparing weighted returns among actions fro...

Sayak Chakrabarti, Sathish Indurthi · 0 citations

#artificial intelligence Feb 2026

Poly-attention: a general scheme for higher-order self-attention

This work defines a vast class of generalizations of self-attention mechanisms, which they are called poly-attention mechanisms, and gives a new attention mechanism which can be computed exactly in quadratic time, and which can perform function composition for any fixed number of functions.

Sayak Chakrabarti, T. Pitassi, Josh Alman · arXiv.org · 3 citations