SinoXiv
3
results found
As Large Language Models (LLMs) are increasingly deployed in autonomous, high-stakes environments, the fragility of current Reinforcement Learning from Human Feedback (RLHF) alignment protocols remain...
Machine Psychology
AI Psychometrics
Large Language Models (LLMs)
Ontological Dissonance
AI Alignment Constraints
Cognitive Narrowing
Reinforcement Learning from Human Feedback (RLHF)
This paper introduces an empirical extension of the Deep Personal Privacy (DPP) framework, a novel paradigm that reconceptualizes privacy as resistance to inference rather than mere control over data ...
Deep Personal Privacy (DPP)
Inference-Based Privacy
Privacy Impedance
Inference Resistance
Large Language Models (LLMs)
Semantic Alignment
Cosine Similarity
Embedding Perturbation
Dual Shifting Transformation
Epistemic Privacy
Privacy Engineering
GDPR
EU AI Act
The large-scale deployment of Large Language Models (LLMs) is constrained by significant energy consumption and operational costs, with inference accounting for up to 90% of the total energy footprint...
Large Language Models (LLMs)
Energy-Latency-Quality (ELQ) Optimization
Carbon-Aware Scheduling
Green AI / Sustainable AI
Efficient LLM Inference
Adaptive Inference Systems
