We propose an alternative method that asks where the task-relevant information emerges in the model. Our framework consists of a family of metrics that ...
We propose an alternative method that asks where the task-relevant information emerges in the model. Our framework consists of a family of metrics that ...
This work proposes an alternative method that asks where the task-relevant information emerges in the model, consisting of a family of metrics that ...
Jan 12, 2023 · We propose an alternative method that asks where the task-relevant information emerges in the model. Our framework consists of a family of ...
Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions Across Layers. bookmark
Code to reproduce results from the COLING 2022 paper "Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions ...
Jenny Kunz and Marco Kuhlmann. 2022. Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers. In ...
Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers · 1 code implementation • COLING 2022 ...
Where does linguistic information emerge in neural language models? measuring gains and contributions across layers. J Kunz, M Kuhlmann. Proceedings of the 29th ...