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cs.CV2026
RefDiT: Local Attribute Guidance in Reference-Based Image Generation
Rameshwar Mishra, Srikrishna Karanam, A V Subramanyam
Personalization models generate new images guided by a few subject references, while style transfer methods aim to produce images aligned with a global style derived from a referen…
cs.CL2026
Do Prompts Guarantee Safety? Mitigating Toxicity from LLM Generations through Subspace Intervention
Himanshu Singh, Ziwei Xu, A. V. Subramanyam +1
Large Language Models (LLMs) are powerful text generators, yet they can produce toxic or harmful content even when given seemingly harmless prompts. This presents a serious safety…