Many practical decision-making problems involve tasks whose success depends on the entire system history, rather than on achieving a state with desired properti...
Nepali, a low-resource language spoken by over 32 million people, continues to face challenges in natural language processing (NLP) due to its complex grammar, ...
This tutorial (https://tum-nlp.github.io/low-resource-tutorial) is designed for NLP practitioners, researchers, and developers working with multilingual and low...
This paper introduces PolyPersona, a generative framework for synthesizing persona-conditioned survey responses across multiple domains. The framework instructi...
Monitoring data transfer performance is a crucial task in scientific computing networks. By predicting performance early in the communication phase, potentially...
To address the steep learning curve and reliance on complex manual file editing and command-line operations in the traditional workflow of the mainstream open-s...
Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density E...
Deep work, over-identification, sports, and blogging The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science....
Penetration testing is essential for assessing and strengthening system security against real-world threats, yet traditional workflows remain highly manual, exp...
Many Aspects of the Modern World Are Powered by Artificial Intelligence Artificial intelligence AI now drives countless facets of our lives, accelerating human...
“모든 나라와 도시에서 고객을 만나면 계속해서 AI가 내 직업을 빼앗을까라는 질문을 듣는다.......
We present Cornserve, an efficient online serving system for an emerging class of multimodal models called Any-to-Any models. Any-to-Any models accept combinati...
