This paper presents an advanced mathematical problem-solving framework, LLaMA-Berry,
for enhancing the mathematical reasoning ability of Large Language Models (LLMs). The …

Large Language Models (LLMs) exhibit remarkably powerful capabilities. One of the crucial
factors to achieve success is aligning the LLM's output with human preferences. This …

Abstract Large Language Models (LLMs) have demonstrated exceptional abilities in
comprehending and generating text, motivating numerous researchers to utilize them for …

In this perspective paper, we introduce the concept of Specialized Generalist Artificial
Intelligence (SGAI or simply SGI) as a crucial milestone toward Artificial General Intelligence …

The safe and effective deployment of Large Language Models (LLMs) involves a critical step
called alignment, which ensures that the model's responses are in accordance with human …

Reinforcement Learning (RL) plays a crucial role in aligning large language models (LLMs)
with human preferences and improving their ability to perform complex tasks. However …

In-context Learning (ICL) enables large language models (LLMs) to tackle downstream
tasks through sophisticated prompting and high-quality demonstrations. However, this …

Multi-step multimodal reasoning tasks pose significant challenges for multimodal large
language models (MLLMs), and finding effective ways to enhance their performance in such …

Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with
generative AI enabling automation of text analysis, text generation, and simple decision …

Despite significant advancements in vision-language models (VLMs), there lacks effective
approaches to enhance response quality by scaling inference-time computation. This …