200 citations · 622 across the 33 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CL2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Qian Liu, Dejian Yang, Jiahui Zhang +3
Recent years pretrained language models (PLMs) hit a success on several downstream tasks, showing their power on modeling language. To better understand and leverage what PLMs have…
cs.CL2021
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin +6
Neural sequence models exhibit limited compositional generalization ability in semantic parsing tasks. Compositional generalization requires algebraic recombination, i.e., dynamica…
cs.CL2021★ 90 cited
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu, Bei Chen, Jiaqi Guo +4
Recent progress in language model pre-training has achieved a great success via leveraging large-scale unstructured textual data. However, it is still a challenge to apply pre-trai…