Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.org
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Voyager: An open-ended embodied agent with large language models

G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Steve-1: A generative model for text-to-behavior in minecraft

S Lifshitz, K Paster, H Chan, J Ba… - Advances in Neural …, 2024 - proceedings.neurips.cc
Constructing AI models that respond to text instructions is challenging, especially for
sequential decision-making tasks. This work introduces an instruction-tuned Video …

Leveraging large language models to power chatbots for collecting user self-reported data

J Wei, S Kim, H Jung, YH Kim - Proceedings of the ACM on Human …, 2024 - dl.acm.org
Large language models (LLMs) provide a new way to build chatbots by accepting natural
language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on …

Large language models and video games: A preliminary scoping review

P Sweetser - Proceedings of the 6th ACM Conference on …, 2024 - dl.acm.org
Large language models (LLMs) hold interesting potential for the design, development, and
research of video games. Building on the decades of prior research on generative AI in …

Llmr: Real-time prompting of interactive worlds using large language models

F De La Torre, CM Fang, H Huang… - Proceedings of the CHI …, 2024 - dl.acm.org
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …

Negative object presence evaluation (nope) to measure object hallucination in vision-language models

H Lovenia, W Dai, S Cahyawijaya, Z Ji… - arXiv preprint arXiv …, 2023 - arxiv.org
Object hallucination poses a significant challenge in vision-language (VL) models, often
leading to the generation of nonsensical or unfaithful responses with non-existent objects …

Communicating natural programs to humans and machines

S Acquaviva, Y Pu, M Kryven… - Advances in …, 2022 - proceedings.neurips.cc
Abstract The Abstraction and Reasoning Corpus (ARC) is a set of procedural tasks that tests
an agent's ability to flexibly solve novel problems. While most ARC tasks are easy for …

Creativity support in the age of large language models: An empirical study involving emerging writers

T Chakrabarty, V Padmakumar, F Brahman… - arXiv preprint arXiv …, 2023 - arxiv.org
The development of large language models (LLMs) capable of following instructions and
engaging in conversational interactions sparked increased interest in their utilization across …

Player-driven emergence in llm-driven game narrative

X Peng, J Quaye, S Rao, W Xu… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
We explore how interaction with large language models (LLMs) can give rise to emergent
behaviors, empowering players to participate in the evolution of game narratives. Our …