Algorithm Design (AD) is crucial for effective problem-solving across various domains. The
advent of Large Language Models (LLMs) has notably enhanced the automation and …

Context.—Generative artificial intelligence (AI) has emerged as a transformative force in
various fields, including anatomic pathology, where it offers the potential to significantly …

Despite prior safety alignment efforts, mainstream LLMs can still generate harmful and
unethical content when subjected to jailbreaking attacks. Existing jailbreaking methods fall …

We study a class of optimization problems motivated by automating the design and update
of AI systems like coding assistants, robots, and copilots. AutoDiff frameworks, like PyTorch …

Prompt engineering is pivotal for harnessing the capabilities of large language models
(LLMs) across diverse applications. While existing prompt optimization methods improve …

Test cases are essential for validating the reliability and quality of software applications.
Recent studies have demonstrated the capability of Large Language Models (LLMs) to …

Prompt engineering for large language models (LLMs) is often a manual time-intensive
process that involves generating, evaluating, and refining prompts iteratively to ensure high …

In current web environment, fake news spreads rapidly across online social networks,
posing serious threats to society. Existing multimodal fake news detection (MFND) methods …

Solving complex real-world tasks requires cycles of actions and observations. This is
particularly true in science, where tasks require many cycles of analysis, tool use, and …

Text-to-video models have made remarkable advancements through optimization on high-
quality text-video pairs, where the textual prompts play a pivotal role in determining quality of …