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From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning., , , , , , , , и . CoRR, (2023)Gaussian Process Assisted Active Learning of Physical Laws., , и . Technometrics, 63 (3): 329-342 (2021)When do you need Chain-of-Thought Prompting for ChatGPT?, , , и . CoRR, (2023)How Many Demonstrations Do You Need for In-context Learning?, , , и . EMNLP (Findings), стр. 11149-11159. Association for Computational Linguistics, (2023)Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task., , и . CoRR, (2021)Why Propagate Alone? Parallel Use of Labels and Features on Graphs., , , , , , , , , и . CoRR, (2021)InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models., , , , и . CoRR, (2023)PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer., , , и . EMNLP, стр. 13512-13525. Association for Computational Linguistics, (2023)GOAT: A Global Transformer on Large-scale Graphs., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 17375-17390. PMLR, (2023)Particle-based Energetic Variational Inference., , , и . CoRR, (2020)