16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CL2021
ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning
Bill Tuck Weng Pung, Alvin Chan
The ability to reason with multiple hierarchical structures is an attractive and desirable property of sequential inductive biases for natural language processing. Do the state-of-…
cs.CL2021
FastTrees: Parallel Latent Tree-Induction for Faster Sequence Encoding
Bill Tuck Weng Pung, Alvin Chan
Inducing latent tree structures from sequential data is an emerging trend in the NLP research landscape today, largely popularized by recent methods such as Gumbel LSTM and Ordered…
cs.CL2020★ 16 cited
CoCon: A Self-Supervised Approach for Controlled Text Generation
Alvin Chan, Yew-Soon Ong, Bill Pung +2
Pretrained Transformer-based language models (LMs) display remarkable natural language generation capabilities. With their immense potential, controlling text generation of such LM…