Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs

Documenti analoghi

• Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
  di: Hamman, Faisal, et al.
  Pubblicazione: (2025)
• TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
  di: Dissanayake, Pasan, et al.
  Pubblicazione: (2025)
• Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
  di: Hamman, Faisal, et al.
  Pubblicazione: (2023)
• Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
  di: Noorani, Erfaun, et al.
  Pubblicazione: (2025)
• Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition
  di: Halder, Barproda, et al.
  Pubblicazione: (2024)