Control Flow Operators in PyTorch
Yidi Wu, Thomas Bohnstingl, et al.
ICML 2025
In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In this work, we opt for simplicity and show how a commonly used seq2seq language model, BART, can be easily adapted to generate keyphrases from the text in a single batch computation using a simple training procedure. Empirical results on five benchmarks show that our approach is as good as the existing state-of-the-art KPG systems, but using a much simpler and easy to deploy framework.
Yidi Wu, Thomas Bohnstingl, et al.
ICML 2025
Jiawei Zhou, Tahira Naseem, et al.
NAACL 2021
Dimitrios Christofidellis, Giorgio Giannone, et al.
MRS Spring Meeting 2023
Lazar Valkov, Akash Srivastava, et al.
ICLR 2024