ASTRA disentangles subject identity from pose structure in diffusion transformers via retrieval-augmented pose guidance, asymmetric EURoPE embeddings, and a DSM adapter to improve multi-subject generation.
Survey of hallucination in natural language generation.ACM computing surveys, 55(12):1–38
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RL post-training on hallucination-forced multimodal data improves reasoning performance and can outperform standard training.
ProtoMedAgent formalizes multimodal clinical reporting as iterative zero-gradient test-time optimization over a neuro-symbolic bottleneck with k-anonymity and ℓ-diversity privacy gate, reporting 91.2% faithfulness versus 46.2% for standard RAG on a 4,160-patient cohort.
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