10 citations · 20 across the 3 of their papers we have counts for
4 papers
Training a Huggingface Model on AWS Sagemaker (Without Tears)
Liling Tan
The development of Large Language Models (LLMs) has primarily been driven by resource-rich research groups and industry partners. Due to the lack of on-premise computing resources…
Can Automatic Post-Editing Improve NMT?
Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan +1
Automatic post-editing (APE) aims to improve machine translations, thereby reducing human post-editing effort. APE has had notable success when used with statistical machine transl…
Lexically Constrained Neural Machine Translation with Levenshtein Transformer
Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan
This paper proposes a simple and effective algorithm for incorporating lexical constraints in neural machine translation. Previous work either required re-training existing models…
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation
Maggie Yundi Li, Stanley Kok, Liling Tan
E-commerce platforms categorize their products into a multi-level taxonomy tree with thousands of leaf categories. Conventional methods for product categorization are typically bas…