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cs.CL2025
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters
Shanbo Cheng, Yu Bao, Qian Cao +23
Multilingual translation stands as a challenging task for large language models (LLMs) to handle intricate language patterns and stilted translations that arise in automated transl…
cs.CL2024
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs
Zhiwei Cao, Qian Cao, Yu Lu +4
The growing popularity of Large Language Models has sparked interest in context compression for Large Language Models (LLMs). However, the performance of previous methods degrades…
cs.CL2024
G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation
Xingyuan Pan, Luyang Huang, Liyan Kang +3
Large Language Models (LLMs) have demonstrated remarkable abilities in general scenarios. Instruction finetuning empowers them to align with humans in various tasks. Nevertheless,…