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Zhijing Jin

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance



Jingwei Ni , Zhijing Jin , Markus Freitag , Mrinmaya Sachan , Bernhard Schölkopf

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* NAACL 2022 
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Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang



Daphna Keidar , Andreas Opedal , Zhijing Jin , Mrinmaya Sachan

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* Accepted as a main conference paper at ACL 2022 
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Logical Fallacy Detection



Zhijing Jin , Abhinav Lalwani , Tejas Vaidhya , Xiaoyu Shen , Yiwen Ding , Zhiheng Lyu , Mrinmaya Sachan , Rada Mihalcea , Bernhard Schölkopf

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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP



Zhijing Jin , Julius von Kügelgen , Jingwei Ni , Tejas Vaidhya , Ayush Kaushal , Mrinmaya Sachan , Bernhard Schölkopf

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* EMNLP 2021 (Oral) 
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Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning



Hongru Wang , Zhijing Jin , Jiarun Cao , Gabriel Pui Cheong Fung , Kam-Fai Wong

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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning in NLP



Zhijing Jin , Julius von Kügelgen , Jingwei Ni , Tejas Vaidhya , Ayush Kaushal , Mrinmaya Sachan , Bernhard Schoelkopf

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* EMNLP 2021 (Oral) 
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How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact



Zhijing Jin , Geeticka Chauhan , Brian Tse , Mrinmaya Sachan , Rada Mihalcea

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* ACL 2021 Findings 
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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings



Qipeng Guo , Zhijing Jin , Ziyu Wang , Xipeng Qiu , Weinan Zhang , Jun Zhu , Zheng Zhang , David Wipf

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* A condensed version is accepted to AISTATS 2021 
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