Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions

📃 Paper📝 Blog

This model card accompanies the research paper, Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions.

Here we release 4 models' checkpoints trained with simulation data described in out paper Section 4. Please follow our github README to download and evaluate these models.

Results of the Controlled Simulation Study of 4-Digits Multiplication

Forward X Reverse X
L2R R2L(m,n) R2L(m) R2L L2R(m,n) L2R(n)
Test Accuracy (%) 99.81±0.15 59.71±1.99 60.93±0.88 100±0 97.82±0.35 99.85±0.10
Train Accuracy (%) 99.76±0.15 59.03±1.66 61.22±1.12 100±0 97.90±0.42 99.98±0.04
Test Cond. Ent. (nats) 0.06 1.18 0.08 0 0.84 0.01
Train Cond. Ent. (nats) 0.06 1.17 0.08 0 0.83 0.01
Theo. Cond. Ent. (nats) 0 1.49 0 0 1.49 0
Training loss 0.86 0.94 0.94 0.86 0.94 0.94
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.