In this work, we propose a new method, Distilled Decoding 2 (DD2), to further advances the feasibility of one-step sampling for image AR models without relying on a pre-defined mapping. We view the ...

Communication models are frameworks that explain the process of communication according to various simplified models that make the multifaceted nature of communication tangible and understandable. One ...

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

In recent years, the rapid scaling of large language models (LLMs) has led to extraordinary improvements in natural language understanding and reasoning capabilities. However, this progress comes with ...

Large language models (LLMs) have rapidly become a foundational component of today’s consumer and enterprise applications. However, the need for a fast generation of tokens has remained a persistent ...

According to OpenAI, o1 performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology, and even excels in math and coding. OpenAI said its project Strawberry has ...

Abstract: This paper focuses on tracking control for a specific class of discrete-time single-input single-output (SISO) nonlinear repetitive systems that encounter data quantization and dropouts ...