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Researchers propose Lagrangian Reward Augmentation (LARA), a framework for inference-time alignment of language models that enforces safety constraints by dualizing a constrained optimization problem …

Researchers introduce Temporal Backtracking Search (TBS), a test-time scaling method for generative video reasoning that searches over the temporal axis rather than denoising steps. TBS transforms vid…