VCM reshapes LLM next-token distributions before truncation via PMI-based context boosts and variance-scaled self-debiasing to reduce repetition and dullness without retraining.
ARMADA : Attribute-Based Multimodal Data Augmentation
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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SemEval-2026 Task 7 presents a benchmark and two evaluation tracks for assessing LLMs on everyday knowledge in diverse languages and cultures without allowing training on the test data.
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