Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

Recent advancements in large language models (LLMs) have significantly boosted the rise
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …

Recent advancements in Large Language Models (LLMs) have shown significant progress
in understanding complex natural language. One important application of LLM is LLM-based …

The rise of powerful large language models (LLMs) has spurred a new trend in building LLM-
based autonomous agents for solving complex tasks, especially multi-agent systems …

Recent advancements on Large Language Models (LLMs) enable AI Agents to
automatically generate and execute multi-step plans to solve complex tasks. However, since …

Tool learning aims to enhance and expand large language models'(LLMs) capabilities with
external tools, which has gained significant attention recently. Current methods have shown …

Recently, integrating external tools with Large Language Models (LLMs) has gained
significant attention as an effective strategy to mitigate the limitations inherent in their pre …

Large Language Models (LLMs) are transforming artificial intelligence, enabling
autonomous agents to perform diverse tasks across various domains. These agents …

Puns play a vital role in academic research due to their distinct structure and clear definition,
which aid in the comprehensive analysis of linguistic humor. However, the understanding of …