1 citations · 1 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
Xinglin Lyu, Junhui Li, Yanqing Zhao +4
Generally, the decoder-only large language models (LLMs) are adapted to context-aware neural machine translation (NMT) in a concatenating way, where LLMs take the concatenation of…
cs.CL2024
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions
Yachao Li, Junhui Li, Jing Jiang +1
Existing large language models (LLMs) for machine translation are typically fine-tuned on sentence-level translation instructions and achieve satisfactory performance at the senten…