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Papers
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
IJCNLP 2025
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
EMNLP 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
CVPR 2025
Measuring the Instability of Fine-Tuning
ACL 2023