Effectiveness of Test-Time Training to Improve Language Model Performance on Abstraction and Reasoning Tasks

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-13-at-11.49.55 PM-300x169.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-13-at-11.49.55 PM-1024x578.png" tabindex="0" role="button"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-13-at-11.49.55 PM-300x169.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-13-at-11.49.55 PM-1024x578.png" tabindex="0" role="button">Large-scale neural language models (LMs) excel at performing tasks similar to their training data and basic variations of those tasks. However, it needs to be clarified whether LMs can solve new problems involving non-trivial reasoning, planning, or string manipulation that differ from their pre-training data. This question is central to understanding current AI systems’ novel […]

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