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2022

FLAN：Fine-tuned Language Models are Zero-Shot Learners

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AI
FLAN
MTL
NLG
NLP
Prompt
Zero-Shot

T5：Exploring the limits of Transfer Learning with a Unified Text-to-Text Transformer

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C4
MTL
NLP
T5
Transformer

ExT5：Towards Extreme Multi-Task Scaling for Transfer Learning

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ExT5
MTL
NLP
T5

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Recents

COPO：基于认知模式的 Step-Level Agentic RL 优化
LLM 的下一步：从“会答”到“会想”——Planning as Data 与思考范式重构
探寻实时学习新路径：挖掘极致高效的“子空间微调”
RL新范式：从经验到更高质量数据——我们不再训练模型，而是在制造数据
Training-Free RL：当“训练”不再更新参数，而是更新上下文

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Coding77
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