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ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

, , , , , , , и . CoRR, (2023)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

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Transfer Understanding from Head Queries to Tail Queries., , , и . CIKM, стр. 1299-1308. ACM, (2014)Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs., , , и . CoRR, (2022)Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency., , , , и . CoRR, (2023)OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering., , , , и . NAACL-HLT, стр. 932-942. Association for Computational Linguistics, (2022)MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation., , , , , и . NAACL-HLT, стр. 1610-1623. Association for Computational Linguistics, (2022)XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge., , , и . AAAI, стр. 10840-10848. AAAI Press, (2022)Truncated Diffusion Probabilistic Models., , , и . CoRR, (2022)Competition-Level Problems are Effective LLM Evaluators., , , , , , , , , и 1 other автор(ы). CoRR, (2023)GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation., , , , , , и . CoRR, (2022)Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models., , , , , , , и . CoRR, (2023)