Search Results for author:
Found 4 papers, 2 papers with code
Unmemorization in Large Language Models via Self-Distillation and Deliberate Imagination
Our results demonstrate the usefulness of this approach across different models and sizes, and also with parameter-efficient fine-tuning, offering a novel pathway to addressing the challenges with private and sensitive data in LLM applications.
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
To accomplish this, we generate abstract product attributes, or ``features,'' from text descriptions and images using deep neural networks, and then use these attributes to estimate the hedonic price function.
Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring
The main assumption of the model is that variations in sensor conductivity can be expressed as a nonlinear function of changes in the semiconductor energy bands in the presence of external humidity and temperature variations.
Data Analysis, Statistics and Probability Computational Engineering, Finance, and Science Instrumentation and Detectors
Artificial Olfactory Brain for Mixture Identification
The odor transduction process has a large time constant and is susceptible to various types of noise.
