Counterfactuals and Dynamic Sampling Combat Spurious Correlations in NLI
Published:Dec 20, 2025 18:30
•1 min read
•ArXiv
Analysis
This research addresses a critical challenge in Natural Language Inference (NLI) by proposing a novel method to mitigate spurious correlations. The use of LLM-synthesized counterfactuals and dynamic balanced sampling represents a promising approach to improve the robustness and generalization of NLI models.
Key Takeaways
Reference
“The research uses LLM-synthesized counterfactuals and dynamic balanced sampling.”