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Harbin Institute of Technology
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Speech, not just images, can unlock significant gains in multilingual machine translation, especially when paired with a self-evolution mechanism for MLLMs.
LLM personalities can be steered with fine-tuning-level precision, compositionality, and context-awareness, all without training, by directly manipulating activation vectors in representation space.
