This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …

Large language models are trained on massive scrapes of the web, which are often
unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such …

Abstract Ultra-precision machining (UPM), which is capable of fabricating micro-components
with less than 0.2 µm forming accuracy and 10 nm surface accuracy, is becoming …

We present SeaEval, a benchmark for multilingual foundation models. In addition to
characterizing how these models understand and reason with natural language, we also …

Logical reasoning is fundamental for humans yet presents a substantial challenge in the
domain of Artificial Intelligence. Initially, researchers used Knowledge Representation and …

Recently, Large Language Models (LLMs) have made remarkable evolutions in language
understanding and generation. Following this, various benchmarks for measuring all kinds …

We explore the self-play training procedure of large language models (LLMs) in a two-player
adversarial language game called Adversarial Taboo. In this game, an attacker and a …

Voice assistants are spreading in various environments, such as houses and cars, bringing
the possibility of controlling heterogeneous Internet of Things devices with simple voice …

Aligned Large Language Models (LLMs) showcase remarkable versatility, capable of
handling diverse real-world tasks. Meanwhile, aligned LLMs are also expected to exhibit …