The rise and potential of large language model based agents: A survey
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 …
human intelligence. AI agents, which are artificial entities capable of sensing the …
Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
A survey of large language models
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 …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Encouraging divergent thinking in large language models through multi-agent debate
Modern large language models (LLMs) like ChatGPT have shown remarkable performance
on general language tasks but still struggle on complex reasoning tasks, which drives the …
on general language tasks but still struggle on complex reasoning tasks, which drives the …
Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks
Recently, there has been significant progress in teaching language models to perform step-
by-step reasoning to solve complex numerical reasoning tasks. Chain-of-thoughts prompting …
by-step reasoning to solve complex numerical reasoning tasks. Chain-of-thoughts prompting …
Survey on factuality in large language models: Knowledge, retrieval and domain-specificity
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …
Large language models cannot self-correct reasoning yet
Large Language Models (LLMs) have emerged as a groundbreaking technology with their
unparalleled text generation capabilities across various applications. Nevertheless …
unparalleled text generation capabilities across various applications. Nevertheless …
Large legal fictions: Profiling legal hallucinations in large language models
Do large language models (LLMs) know the law? LLMs are increasingly being used to
augment legal practice, education, and research, yet their revolutionary potential is …
augment legal practice, education, and research, yet their revolutionary potential is …
Tora: A tool-integrated reasoning agent for mathematical problem solving
Large language models have made significant progress in various language tasks, yet they
still struggle with complex mathematics. In this paper, we propose ToRA a series of Tool …
still struggle with complex mathematics. In this paper, we propose ToRA a series of Tool …