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

MU Hadi, Q Al Tashi, A Shah, R Qureshi… - Authorea …, 2024 - authorea.com
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 …

Ai alignment: A comprehensive survey

J Ji, T Qiu, B Chen, B Zhang, H Lou, K Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

Personality traits in large language models

G Serapio-García, M Safdari, C Crepy, L Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
The advent of large language models (LLMs) has revolutionized natural language
processing, enabling the generation of coherent and contextually relevant human-like text …

Evaluating the moral beliefs encoded in llms

N Scherrer, C Shi, A Feder… - Advances in Neural …, 2024 - proceedings.neurips.cc
This paper presents a case study on the design, administration, post-processing, and
evaluation of surveys on large language models (LLMs). It comprises two components:(1) A …

Having beer after prayer? measuring cultural bias in large language models

T Naous, MJ Ryan, A Ritter, W Xu - arXiv preprint arXiv:2305.14456, 2023 - arxiv.org
As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …

Rewardbench: Evaluating reward models for language modeling

N Lambert, V Pyatkin, J Morrison, LJ Miranda… - arXiv preprint arXiv …, 2024 - arxiv.org
Reward models (RMs) are at the crux of successful RLHF to align pretrained models to
human preferences, yet there has been relatively little study that focuses on evaluation of …

Diminished diversity-of-thought in a standard large language model

PS Park, P Schoenegger, C Zhu - Behavior Research Methods, 2024 - Springer
We test whether large language models (LLMs) can be used to simulate human participants
in social-science studies. To do this, we ran replications of 14 studies from the Many Labs 2 …

Exploring the psychology of LLMs' moral and legal reasoning

GFCF Almeida, JL Nunes, N Engelmann… - Artificial Intelligence, 2024 - Elsevier
Large language models (LLMs) exhibit expert-level performance in tasks across a wide
range of different domains. Ethical issues raised by LLMs and the need to align future …

Exploring the psychology of GPT-4's Moral and Legal Reasoning

GFCF Almeida, JL Nunes, N Engelmann… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models have been used as the foundation of highly sophisticated artificial
intelligences, capable of delivering human-like responses to probes about legal and moral …

Emergence of scale-free networks in social interactions among large language models

G De Marzo, L Pietronero, D Garcia - arXiv preprint arXiv:2312.06619, 2023 - arxiv.org
Scale-free networks are one of the most famous examples of emergent behavior and are
ubiquitous in social systems, especially online social media in which users can follow each …