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Found 3 papers, 1 papers with code
Let's Verify Step by Step
We conduct our own investigation, finding that process supervision significantly outperforms outcome supervision for training models to solve problems from the challenging MATH dataset.
Ranked #1 on
Math Word Problem Solving
on MATH minival
(using extra training data)
Learning Policy Representations in Multiagent Systems
Modeling agent behavior is central to understanding the emergence of complex phenomena in multiagent systems.
Generative Models for Alignment and Data Efficiency in Language
We examine how learning from unaligned data can improve both the data efficiency of supervised tasks as well as enable alignments without any supervision.
