Results 41 to 50 of about 6,156,320 (380)
Voyager: An Open-Ended Embodied Agent with Large Language Models [PDF]
Trans. Mach. Learn. Res., 2023 We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention.
Guanzhi Wang +7 more
semanticscholar +1 more source
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct [PDF]
arXiv.org, 2023 Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning.
Haipeng Luo +9 more
semanticscholar +1 more source
Large Language Models Are Human-Level Prompt Engineers [PDF]
International Conference on Learning Representations, 2022 By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depends significantly on the quality of the prompt used to steer the model, and ...
Yongchao Zhou +6 more
semanticscholar +1 more source
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation [PDF]
Proceedings of the VLDB Endowment, 2023 Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task. However, the absence of a systematical benchmark inhibits the development of designing effective, efficient and economic LLM-based Text-to-SQL solutions.
Dawei Gao +6 more
semanticscholar +1 more source
Role play with large language models
Nature, 2023 As dialogue agents become increasingly human-like in their performance, it is imperative that we develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. In this paper, we foreground the concept of role-play.
Murray Shanahan +2 more
openaire +6 more sources
Enabling Large Language Models to Generate Text with Citations [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Large language models (LLMs) have emerged as a widely-used tool for information seeking, but their generated outputs are prone to hallucination. In this work, our aim is to allow LLMs to generate text with citations, improving their factual correctness ...
Tianyu Gao +3 more
semanticscholar +1 more source
Large language models propagate race-based medicine
npj Digital Medicine, 2023 Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
Jesutofunmi A. Omiye +4 more
doaj +1 more source
Large language models and political science
Frontiers in Political Science, 2023 Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content.
Mitchell Linegar +3 more
doaj +1 more source
Large Language Models and Logical Reasoning
Encyclopedia, 2023 In deep learning, large language models are typically trained on data from a corpus as representative of current knowledge. However, natural language is not an ideal form for the reliable communication of concepts.
Robert Friedman
doaj +1 more source
Towards Expert-Level Medical Question Answering with Large Language Models [PDF]
arXiv.org, 2023 Recent artificial intelligence (AI) systems have reached milestones in"grand challenges"ranging from Go to protein-folding. The capability to retrieve medical knowledge, reason over it, and answer medical questions comparably to physicians has long been ...
K. Singhal +30 more
semanticscholar +1 more source