Deductive Logic in Language Models: Horizontal vs Vertical Reasoning

1. 1Train a small transformer-based language model from scratch on multi-step deductive tasks
2. 2Configure the model to use horizontal reasoning with autoregressive intermediate steps
3. 3Test the model's performance on deductive inference tasks using vertical reasoning with implicit layer unfolding
4. 4Apply the insights from the comparison to improve the model's logical reasoning abilities
5. 5Run experiments to evaluate the effectiveness of different reasoning mechanisms

AI engineers and researchers benefit from understanding the mechanisms of deductive inference in language models to improve their performance and applications. This knowledge can inform the development of more sophisticated language models and AI systems.

💡 Horizontal and vertical reasoning are two distinct mechanisms that support deductive inference in language models, with implications for AI development and performance

💡 Language models use horizontal & vertical reasoning for deductive logic!