Quoc V. Le
2 papers · Latest:
Natural Language Processing
Transcending Scaling Laws with 0.1% Extra Compute
UL2R fine-tuning significantly improves large language model performance and scaling efficiency with only 0.1% extra compute, enabling substantial computational savings and emergent abilities.
2210.11399
Natural Language ProcessingFinetuned Language Models Are Zero-Shot Learners
Instruction tuning large language models on diverse NLP tasks significantly enhances their zero-shot learning capabilities, outperforming much larger models like GPT-3.
2109.01652
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