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The University of Melbourne
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SVoT achieves a remarkable 65% accuracy boost in spatial reasoning tasks by making intermediate states verifiable and integrating transition reasoning.
LLMs struggle to reliably control the distribution of attributes like gender and race in multi-round generation, but a novel fine-tuning approach can precisely steer these distributions.
