For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …

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 …

Although Large Language Models (LLMs) have shown great potential in Natural Language
Generation, it is still challenging to characterize the uncertainty of model generations, ie …

Dialogue-based language models mark a huge milestone in the field of artificial intelligence,
by their impressive ability to interact with users, as well as a series of challenging tasks …

Scientific reasoning poses an excessive challenge for even the most advanced Large
Language Models (LLMs). To make this task more practical and solvable for LLMs, we …

Abstract Large Language Models (LLMs) show promising results in language generation
and instruction following but frequently “hallucinate”, making their outputs less reliable …