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 …

Human intelligence thrives on the concept of cognitive synergy, where collaboration and
information integration among different cognitive processes yield superior outcomes …

Extracting patient information from unstructured text is a critical task in health decision-
support and clinical research. Large language models (LLMs) have shown the potential to …

Hallucination is a significant barrier to the utilization of large-scale language models or
multimodal models. In this study, we collected 654 computer science papers with" …

Self-Consistency samples diverse reasoning chains with answers and chooses the final
answer by majority voting. It is based on forward reasoning and cannot further improve …

Large Language Models (LLMs) have demonstrated remarkable capabilities in open-ended
text generation tasks. However, the inherent open-ended nature of these tasks implies that …

Recent progress in LLMs discussion suggests that multi-agent discussion improves the
reasoning abilities of LLMs. In this work, we reevaluate this claim through systematic …

Large Language Models (LLMs) have revolutionized the field of Natural Language
Generation (NLG) by demonstrating an impressive ability to generate human-like text …

While Large language models (LLMs) have garnered widespread applications across
various domains due to their powerful language understanding and generation capabilities …

A growing body of work studies how to answer a question or verify a claim by generating a
natural language" proof": a chain of deductive inferences yielding the answer based on a set …