Large language models (LLMs) have achieved substantial progress in processing long
contexts but still struggle with long-context reasoning. Existing approaches typically involve …

In this work, we explore how instance-level memorization in the teacher Neural Machine
Translation (NMT) model gets inherited by the student model in sequence-level knowledge …

Reranking a list of candidates from a machine translation system with an external scoring
model and returning the highest-scoring candidate remains a simple and effective method …