Large language models for mobility in transportation systems: A survey on forecasting tasks
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …
Forecasting traffic information offers a viable solution to address the conflict between …
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
Recent advances in large language models (LLMs) have unlocked novel opportunities for
machine learning applications in the financial domain. These models have demonstrated …
machine learning applications in the financial domain. These models have demonstrated …
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale
Learning to rank (LTR) is widely employed in web searches to prioritize pertinent webpages
from retrieved content based on input queries. However, traditional LTR models encounter …
from retrieved content based on input queries. However, traditional LTR models encounter …
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
Spatio-temporal (ST) prediction has garnered a De facto attention in earth sciences, such as
meteorological prediction, human mobility perception. However, the scarcity of data coupled …
meteorological prediction, human mobility perception. However, the scarcity of data coupled …
SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks
Intelligent Transportation Systems (ITS) have garnered considerable attention as a potential
solution for addressing the conflict between the increasing demand for transportation and …
solution for addressing the conflict between the increasing demand for transportation and …
[PDF][PDF] An Embarrassingly Simple Method to Compromise Language Models
J Wang - 2024 - preprints.org
Language models like BERT dominate current NLP research due to their robust
performance, but they are vulnerable to backdoor attacks. Such attacks cause the model to …
performance, but they are vulnerable to backdoor attacks. Such attacks cause the model to …
SONNET: Solar-disaggregation-based Day-ahead Probabilistic Net Load Forecasting with Transformers
The global transition towards sustainable energy sources has positioned solar power as a
cornerstone of modern electricity systems, underscoring the critical need for advanced …
cornerstone of modern electricity systems, underscoring the critical need for advanced …