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Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
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On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
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Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
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Automatic Combination of Sample Selection Strategies for Few-Shot Learning
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Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
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Cross-lingual learning for text processing: A survey
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