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06/16/2023
Full Parameter Fine-tuning for Large Language Models with Limited Resources
Large Language Models (LLMs) have revolutionized Natural Language Proces...
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05/07/2023
Unified Demonstration Retriever for In-Context Learning
In-context learning is a new learning paradigm where a language model co...
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03/02/2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Previous deep multi-agent reinforcement learning (MARL) algorithms have ...
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05/29/2022
CoNT: Contrastive Neural Text Generation
Recently, contrastive learning attracts increasing interests in neural t...
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01/23/2022