21 citations · 48 across the 24 of their papers we have counts for
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cs.CL2022★ 2 cited
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
Jianhao Yan, Jin Xu, Fandong Meng +2
Minimum Bayesian Risk Decoding (MBR) emerges as a promising decoding algorithm in Neural Machine Translation. However, MBR performs poorly with label smoothing, which is surprising…
cs.CL2022★ 3 cited
Probing Causes of Hallucinations in Neural Machine Translations
Jianhao Yan, Fandong Meng, Jie Zhou
Hallucination, one kind of pathological translations that bothers Neural Machine Translation, has recently drawn much attention. In simple terms, hallucinated translations are flue…
cs.CL2022★ 21 cited
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
Jin Xu, Xiaojiang Liu, Jianhao Yan +3
While large-scale neural language models, such as GPT2 and BART, have achieved impressive results on various text generation tasks, they tend to get stuck in undesirable sentence-l…