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SkelGen4D achieves high-quality text-driven mesh animation without the burden of extensive skeleton annotations, outperforming fully supervised models.
EQMs reveal that explanation quality can be quantitatively assessed, offering a more reliable indicator of forecasting accuracy than traditional methods.
LLMs struggle to understand financial language when evaluated against real-world market commitments, revealing a disconnect between perceived sentiment and actual trading behavior.
Forget RLHF – steering LLM multi-agent conversations might be as simple as crafting the right sequence of prompts.
Unlock zero-shot 3D shape completion across diverse partial observations by exploiting geometric priors from 3D foundation models, without any training.
