Nan Du
3 papers · Latest:
Natural Language Processing
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct is a method that interleaves reasoning and acting in language models to improve task-solving accuracy and interpretability by enabling interaction with external environments.
2210.03629
Natural Language ProcessingPaLM: Scaling Language Modeling with Pathways
PaLM is a 540-billion parameter Transformer language model that achieves state-of-the-art few-shot learning performance across diverse benchmarks, demonstrating significant benefits from scaling.
2204.02311
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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