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AlpaCare: Instruction-tuned Large Language Models for Medical Application., , , , , и . CoRR, (2023)Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements., , , и . CoRR, (2024)Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation., , , , , , и . CoRR, (2024)OPTune: Efficient Online Preference Tuning., , , , , , , , и . CoRR, (2024)Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning., , , , , , и . CoRR, (2023)Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning., , , , , и . CoRR, (2024)PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer., , , и . EMNLP, стр. 13512-13525. Association for Computational Linguistics, (2023)Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning., , , , , , и . CoRR, (2024)GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset., , , , , , , , и . CoRR, (2023)HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models., , , , , , и . CoRR, (2023)