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Found 6 papers, 1 papers with code
Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Models
Prompt recovery, a crucial task in natural language processing, entails the reconstruction of prompts or instructions that language models use to convert input text into a specific output.
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
The results of our experiments show that, when compared to other current methods, our integrative fuzzy techniques may perform more accurately and effectively in the evaluation of software project risks.
A K-means Algorithm for Financial Market Risk Forecasting
In today's society, there are problems of high error rate and low precision in financial market risk prediction, which greatly affect the accuracy of financial market risk prediction.
Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing
This paper addresses the optimization of scheduling for workers at a logistics depot using a combination of genetic algorithm and simulated annealing algorithm.
Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation
Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation.
Vision-based Robotic Arm Imitation by Human Gesture
One of the most efficient ways for a learning-based robotic arm to learn to process complex tasks as human, is to directly learn from observing how human complete those tasks, and then imitate.
Robotics
