SteeringDiffusion supplies a bottlenecked, prompt-conditioned activation interface for frozen diffusion models that delivers smooth monotonic content-style control via one runtime scalar and timestep gating.
A rank stabilization scaling factor for fine-tuning with lora
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Proposes and benchmarks a new aggregation technique for LoRA adapters in federated fine-tuning against existing methods on GLUE tasks.
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SteeringDiffusion: A Bottlenecked Activation Control Interface for Diffusion Models
SteeringDiffusion supplies a bottlenecked, prompt-conditioned activation interface for frozen diffusion models that delivers smooth monotonic content-style control via one runtime scalar and timestep gating.
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Aggregating Low Rank Adapters in Federated Fine-tuning
Proposes and benchmarks a new aggregation technique for LoRA adapters in federated fine-tuning against existing methods on GLUE tasks.