most citedInput-length-shortening and text generation via attention values

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 2 cited

Input-length-shortening and text generation via attention values

Neşet Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann +4

Identifying words that impact a task's performance more than others is a challenge in natural language processing. Transformers models have recently addressed this issue by incorpo…