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cs.CL2022★ 2 cited
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
Tianxing He, Jingyu Zhang, Tianle Wang +4
In this work, we explore a useful but often neglected methodology for robustness analysis of text generation evaluation metrics: stress tests with synthetic data. Basically, we des…
cs.CL2022
PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation
Jingyu Zhang, James Glass, Tianxing He
Existing work on controlled text generation (CTG) assumes a control interface of categorical attributes. In this work, we propose a natural language (NL) interface, where we craft…
cs.AI2022
Controlling the Focus of Pretrained Language Generation Models
Jiabao Ji, Yoon Kim, James Glass +1
The finetuning of pretrained transformer-based language generation models are typically conducted in an end-to-end manner, where the model learns to attend to relevant parts of the…