T. Q. Nguyen

Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation

2021 · arXiv (Cornell University)

Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary module and relies on the self-attention mechanism to attend among tokens in two languages. However, correlation learned by self-attention is …

Generative Retrieval as Dense Retrieval

2023 · arXiv (Cornell University)

Generative retrieval is a promising new neural retrieval paradigm that aims to optimize the retrieval pipeline by performing both indexing and retrieval with a single transformer model. However, this new paradigm faces challenges with updating …