Controllable Generation

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Fact verification guided iterative factual error correction without the supervision from corretion.
Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao
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Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Unsupervised Explanation Generation via Correct Instantiations
Generate explanations for why a statement is wrong by prompting LLMs with the correct version of it.
Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong
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Unsupervised Explanation Generation via Correct Instantiations
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
Lexically constrained neural machine translation (NMT) draws much industrial attention for its practical usage in specific domains. …
Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao
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Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
Unsupervised Editing for Counterfactual Stories
Creating counterfactual story endings (what-if stories) with unsupervised editing.
Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li
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Unsupervised Editing for Counterfactual Stories
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation
Building head-modifier templates to constrain entity type description generation.
Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao
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Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation