In a New AI Paper, CMU and Google Researchers Redefine Language Model Outputs: How Delaying Responses with Pause Tokens Boosts Performance on QA and Reasoning Tasks

Tokens are generated in rapid succession using causal language models based on transformers. The model takes in the K preceding tokens and then iteratively calculates K intermediate vectors in each hidden layer to produce the (K + 1)th token. The module operates on the previous layer’s output vectors, and each vector in itself is the […]

The post In a New AI Paper, CMU and Google Researchers Redefine Language Model Outputs: How Delaying Responses with Pause Tokens Boosts Performance on …

ai paper ai shorts applications artificial intelligence cmu editors pick generated google hidden intermediate language language model language models large language model machine learning paper performance reasoning researchers responses staff succession tasks tech news technology tokens transformers vectors