Tag: AI robustness
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Dense Associative Memory: Finite-Size and Robustness Analysis
Explore finite-size guarantees and adversarial robustness in Dense Associative Memory, enhancing neural network efficiency and reliability.
Prospect Theory Limits in LLMs Under Epistemic Uncertainty
Explore the instability of decision-making in LLMs using Prospect Theory amid epistemic uncertainty and linguistic ambiguity.
Robust Vision-Guided Cross-Modal Prompt Learning with Noise
Discover VisPrompt, a robust vision-guided cross-modal prompt learning framework that handles label noise for improved AI model accuracy.
Robust Token Optimization for Reliable RLHF in LLMs
Enhance Large Language Models' reliability with Distributionally Robust Token Optimization combining RLHF and DRO for improved reasoning tasks.
Exploiting Denoising Flaws in Diffusion Language Models
Discover how denoising irreversibility exposes vulnerabilities in diffusion language models and explore strategies to enhance AI safety and robustness.