Web: http://arxiv.org/abs/2209.08285

Sept. 21, 2022, 1:14 a.m. | Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang

cs.CL updates on arXiv.org arxiv.org

Conventional works generally employ a two-phase model in which a generator
selects the most important pieces, followed by a predictor that makes
predictions based on the selected pieces. However, such a two-phase model may
incur the degeneration problem where the predictor overfits to the noise
generated by a not yet well-trained generator and in turn, leads the generator
to converge to a sub-optimal model that tends to select senseless pieces. To
tackle this challenge, we propose Folded Rationalization (FR) that …

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