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A survey of recent advancements in aligning deep generative models with human preferences across language, speech and vision.
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A survey covering attack methods, evaluation, metrics and tools for identifying and mitigating GenAI application vulnerabilities.
This new framework enhances preference optimization for better AI alignment with human values.
Fine-tuning and aligning chain-of-thought responses in LLMs for safer conversational AI.
Introducing APT, an adversarially pre-trained transformer achieving SOTA on small tabular tasks.
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