36 citations · 77 across the 7 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
How to Make Large Language Models Generate 100% Valid Molecules?
Wen Tao, Jing Tang, Alvin Chan +5
Molecule generation is key to drug discovery and materials science, enabling the design of novel compounds with specific properties. Large language models (LLMs) can learn to perfo…
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…