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Truthfulness in NLP research has surged to 37% of papers by 2026, reflecting a critical shift in focus towards safety and alignment in generative systems.
On-policy reward modeling with LLM judges not only unlocks significant performance gains on complex mathematical reasoning tasks, but also generalizes to improve performance on simpler numerical and multiple-choice benchmarks.
