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Self-evolving rubric rewards can dramatically enhance audio reasoning in models, outperforming traditional methods by adapting to the model's evolving capabilities.
ClinFusion sets a new benchmark in multimodal medical understanding, outperforming both open-source and proprietary models in generating clinically relevant insights from diverse medical images.
LLMs can now tap into arbitrarily long-term memories by retrieving "thoughts" – their own past reasoning steps – rather than just raw data, leading to significant performance gains.
