Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Abstract Open RAN (ORAN, O-RAN) represents a novel industry-level standard for RAN
(Radio Access Network), which defines interfaces that support inter-operation between …

How do large language models (LLMs) develop and evolve over the course of training?
How do these patterns change as models scale? To answer these questions, we introduce …

Memorization, or the tendency of large language models (LLMs) to output entire sequences
from their training data verbatim, is a key concern for deploying language models. In …

In this paper, we identify and characterize the emerging area of representation engineering
(RepE), an approach to enhancing the transparency of AI systems that draws on insights …

In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …

This explainer document aims to provide an overview of the current state of the rapidly
expanding work on synthetic data technologies, with a particular focus on privacy. The …

By interacting, synchronizing, and cooperating with its physical counterpart in real time,
digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city …

The practical needs of the" right to be forgotten" and poisoned data removal call for efficient
machine unlearning techniques, which enable machine learning models to unlearn, or to …

The increasing popularity of large language models (LLMs) such as ChatGPT has led to
growing concerns about their safety, security risks, and ethical implications. This paper aims …