Search Results for author:
Found 3 papers, 1 papers with code
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions
Our proposed translation mixed-instructions enable LLMs (Llama-2~7B and 13B) to maintain consistent translation performance from the sentence level to documents containing as many as 2048 tokens.
P-Transformer: Towards Better Document-to-Document Neural Machine Translation
To alleviate this problem, we propose a position-aware Transformer (P-Transformer) to enhance both the absolute and relative position information in both self-attention and cross-attention.
Adaptive Weighting for Neural Machine Translation
In the popular sequence to sequence (seq2seq) neural machine translation (NMT), there exist many weighted sum models (WSMs), each of which takes a set of input and generates one output.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
