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 …

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

The ability of Large Language Models (LLMs) to critique and refine their reasoning is crucial
for their application in evaluation, feedback provision, and self-improvement. This paper …

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 …

The rapid advancement of neural language models has sparked a new surge of intelligent
agent research. Unlike traditional agents, large language model-based agents (LLM agents) …

The study and development of AI agents have been boosted by large language models. AI
agents can function as intelligent assistants and complete tasks on behalf of their users with …

Large language models (LLMs) combined with tool learning have gained impressive results
in real-world applications. During tool learning, LLMs may call multiple tools in nested …

Large Language Models (LLMs) demonstrate remarkable capabilities in various reasoning
tasks. However, they encounter significant challenges when it comes to scientific reasoning …

Large Language Models (LLMs) have emerged as a transformative AI paradigm, profoundly
influencing daily life through their exceptional language understanding and contextual …

The rapid advancement of neural language models has sparked a new surge of intelligent
agent research. Unlike traditional agents, large language model-based agents (LLM agents) …