Microsoft Technology Licensing, LLC

Olga Goldenberg

Royi Ronen

Weizhu Chen

Erez Altus

Yi Mao

Abedelkader Asi

Yarin Kuper

Song Wang

Shimrit Rada Bemis

The disclosure herein describes reducing training bias in outputs generated by a generative language model. A communication segment associated with a communication is obtained by at least one processor of a generative language model. An output value associated with the communication segment is generated by the generative language model. The output value is mapped to a set of training bias values associated with the generative language model and based on the mapping of the output value to a training bias value of the set of training bias values, an alternative output value is generated. The alternative output value is used in a generated segment output for the communication segment. The accuracy of segment outputs generated by the generative language model is improved through reducing or eliminating its training biases.

Reducing biases of generative language models

Growing community of inventors

Tel Aviv, Israel

Olga Goldenberg