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20222025
most citedf-Divergence Minimization for Sequence-Level Knowledge Distillation

4 citations · 7 across the 7 of their papers we have counts for

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cs.CL2024

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation

Yuqiao Wen, Behzad Shayegh, Chenyang Huang +2

The ability of zero-shot translation emerges when we train a multilingual model with certain translation directions; the model can then directly translate in unseen directions. Alt…

cs.CL2024★ 1 cited

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing

Behzad Shayegh, Yuqiao Wen, Lili Mou

We address unsupervised discontinuous constituency parsing, where we observe a high variance in the performance of the only previous model in the literature. We propose to build an…

cs.CL2023★ 4 cited

f-Divergence Minimization for Sequence-Level Knowledge Distillation

Yuqiao Wen, Zichao Li, Wenyu Du +1

Knowledge distillation (KD) is the process of transferring knowledge from a large model to a small one. It has gained increasing attention in the natural language processing commun…

cs.CL2022★ 2 cited

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation

Yuqiao Wen, Yongchang Hao, Yanshuai Cao +1

Open-domain dialogue systems aim to interact with humans through natural language texts in an open-ended fashion. Despite the recent success of super large dialogue systems such as…

cs.CL2022

An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets

Yuqiao Wen, Guoqing Luo, Lili Mou

Open-domain dialogue systems aim to converse with humans through text, and dialogue research has heavily relied on benchmark datasets. In this work, we observe the overlapping prob…