14 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 6 cited
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Haoran Li, Qingxiu Dong, Zhengyang Tang +17
We introduce Generalized Instruction Tuning (called GLAN), a general and scalable method for instruction tuning of Large Language Models (LLMs). Unlike prior work that relies on se…
cs.CL2023
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences
Chaojun Wang, Yang Liu, Wai Lam
Previous studies show that intermediate supervision signals benefit various Natural Language Processing tasks. However, it is not clear whether there exist intermediate signals tha…
cs.CL2020★ 14 cited
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
Chaojun Wang, Rico Sennrich
The standard training algorithm in neural machine translation (NMT) suffers from exposure bias, and alternative algorithms have been proposed to mitigate this. However, the practic…