Honghao Gui

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models

2024 · arXiv (Cornell University)

In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs). To construct high-quality instruction datasets, many instruction processing approaches have been …

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

2025 · arXiv (Cornell University)

High-quality, large-scale instructions are crucial for aligning large language models (LLMs), however, there is a severe shortage of instruction in the field of natural language understanding (NLU). Previous works on constructing NLU instructions mainly focus …