In a text-processing model, a bias term is added to the attention scores between a 'query' word and a 'key' word before the final attention weights are computed. This bias is calculated as -β * d, where d is the distance (number of words) between the query and the key, and β is a fixed positive number. What is the primary effect of this biasing scheme on the model's behavior?

Calculating Linear Relative Position Biases

An attention mechanism uses a linear relative position bias to penalize distant key-value pairs. In a causal setting, a query at a given position attends to itself and all previous positions up to a certain maximum distance. Match each maximum relative distance to the corresponding set of bias values that would be applied, where β is a scalar.