Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance

Documenti analoghi

• A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
  di: Pecher, Branislav, et al.
  Pubblicazione: (2023)
• On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
  di: Pecher, Branislav, et al.
  Pubblicazione: (2024)
• Automatic Combination of Sample Selection Strategies for Few-Shot Learning
  di: Pecher, Branislav, et al.
  Pubblicazione: (2024)
• Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
  di: Pecher, Branislav, et al.
  Pubblicazione: (2026)
• PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
  di: Belanec, Robert, et al.
  Pubblicazione: (2025)