Mar 21, 2024 · Abstract:Translation-tailored Large language models (LLMs) exhibit remarkable translation capabilities, even competing with ...
Mar 21, 2024 · Instruction tuning aims to refine LLMs through fine-tuning a diverse collection of data characterized by explicit instructions. This refinement ...
Mar 22, 2024 · Building Accurate Translation-Tailored LLMs with Language Aware... Translation-tailored Large language models (LLMs) exhibit remarkable ...
Mar 22, 2024 · Improving translation accuracy through instruction tuning in Large Language Models (LLMs).
Mar 21, 2024 · Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning ... In this work, we design a two-stage fine-tuning algorithm ...
Jul 10, 2023 · Personally, I mostly utilize the #instruction, #input, #output format for most of my fine-tuning tasks. So, shaping your data in the correct ...
Missing: Tailored | Show results with:Tailored
Feb 14, 2024 · Prompting involves providing specific instructions or examples to guide the LLM to generate an answer. It's a method where users input a prompt ...
3 days ago · Instruction tuning is a critical step in LLM alignment, i.e., shaping the behavior of large language models (LLMs) to better align with the ...
Missing: Accurate | Show results with:Accurate
In this work, we design a two-stage fine-tuning algorithm to improve the instruction-following ability (especially the translation direction) of LLMs.
Co-authors ; Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. C Zan, L Ding, L Shen, Y Zhen, W Liu, D Tao. arXiv preprint ...