Search Results for author:
Found 5 papers, 0 papers with code
Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information
To address the issue of poor embedding performance in the knowledge graph of a programming design course, a joint represen-tation learning model that combines entity neighborhood infor-mation and description information is proposed.
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation
A News Summary Generator (NSG) is designed to select and evolve the event pattern populations and generate news summaries.
PatternGPT :A Pattern-Driven Framework for Large Language Model Text Generation
Firstly, the framework utilizes the extraction capability of Large Language Models to generate rich and diversified structured and formalized patterns, which facilitates the introduction of external knowledge to do the computation, and then draws on the idea of federated learning to use multiple agents to achieve the sharing in order to obtain more diversified patterns, and finally uses judgment criteria and optimization algorithm to search for high-quality patterns to guide the generation of models.
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning
We mathematically demonstrate the existence of the optimal function desired by the method, and give a systematic algorithm for training and calibration of the model.
LOCx2, a Low-latency, Low-overhead, 2 x 5.12-Gbps Transmitter ASIC for the ATLAS Liquid Argon Calorimeter Trigger Upgrade
In this paper, we present the design and test results of LOCx2, a transmitter ASIC for the ATLAS Liquid Argon Calorimeter trigger upgrade.
Instrumentation and Detectors
