M1: Chunking long documents into max-context-length chunks, and averaging all-mini-LM-v6 embeddings across chunks to produce a final document embedding.

A.1 Deriving the Optimum of the KL-Constrained Reward Maximization Objective In this appendix, we will derive Eq. 4. Analogously to Eq. 3, we optimize the following objective: max

To avoid the use of future inputs for step-by-step inference, the weights of the PSN can be masked, resulting in the masked PSN.

In the United States, health insurance is a critical component of individuals' ability to access health care.

MD is often used to compute equilibrium properties, which requires sampling from an equilibrium distribution such as the Boltzmann distribution.

The results show that GPT -4 had the best accuracy of 61.6% and a weighted F1

For each (topic, subtopic) pair, we generate and solve 80 problems using GPT4.