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The Zero-Shot Robustness is a comprehensive evaluation of the robustness of zero-shot multimodal models.
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The STEM is a new challenge to test the STEM skills of neural models.
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The AgentInstruct improves the zero-shot reasoning abilities of large language models on general language understanding tasks.
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The DeepStruct is the state-of-the-art pretrained language model for structure prediction.
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The DeepEx is the state-of-the-art zero-shot information extractor.
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The LASS is the state-of-the-art knowledge graph completion model.
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The PALT is the state-of-the-art parameter-lite transfer learning method for knowledge graph completion.
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The CodeSyntax is a large-scale benchmark for code syntax understanding.
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The Transformer on a Diet is a lightweight Transformer.
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The Language Models with Transformers ensembles RNNs and Transformers.
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The TextHIN performs semantic parsing over knowledge graphs.