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Xiaoyu (Nicholas) Wu
Xiaoyu Wu is a PhD student at Carnegie Mellon University working on generative models, long-horizon generation, representation learning, and reasoning.
Guidance is becoming a cheat code for LLMs (with Loooop)
Published:
Guidance can dramatically improve generation. Looped models offer a way to reduce the normalization gap between token-level guidance and the guided joint distribution over a full sequence.