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.
Blocks Architecture ( B lo A rk): Efficient, Cost-Effective, and Incremental Dataset Architecture for W ikipedia Revision History
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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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Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding
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.
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SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
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.