Binding Language Models in Symbolic Languages

Though end-to-end neural approaches have recently been dominating NLP tasks in both performance and ease-of-use, they lack interpretability and robustness. We propose Binder, a training-free neural-symbolic framework that maps the task input to a program, which (1) allows binding a unified API of la...

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Hauptverfasser:	Cheng, Zhoujun, Xie, Tianbao, Shi, Peng, Li, Chengzu, Nadkarni, Rahul, Hu, Yushi, Xiong, Caiming, Radev, Dragomir, Ostendorf, Mari, Zettlemoyer, Luke, Smith, Noah A, Yu, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
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