Alpacafarm: A simulation framework for methods that learn from human feedback

Y Dubois, CX Li, R Taori, T Zhang… - Advances in …, 2024 - proceedings.neurips.cc
Large language models (LLMs) such as ChatGPT have seen widespread adoption due to
their ability to follow user instructions well. Developing these LLMs involves a complex yet …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Whose opinions do language models reflect?

S Santurkar, E Durmus, F Ladhak… - International …, 2023 - proceedings.mlr.press
Abstract Language models (LMs) are increasingly being used in open-ended contexts,
where the opinions they reflect in response to subjective queries can have a profound …

In-context impersonation reveals Large Language Models' strengths and biases

L Salewski, S Alaniz, I Rio-Torto… - Advances in neural …, 2023 - proceedings.neurips.cc
In everyday conversations, humans can take on different roles and adapt their vocabulary to
their chosen roles. We explore whether LLMs can take on, that is impersonate, different roles …

Using large language models to simulate multiple humans and replicate human subject studies

GV Aher, RI Arriaga, AT Kalai - International Conference on …, 2023 - proceedings.mlr.press
We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

Personality traits in large language models

M Safdari, G Serapio-García, C Crepy, S Fitz… - 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 text. As LLMs …

Large language models and the reverse turing test

TJ Sejnowski - Neural computation, 2023 - direct.mit.edu
Large language models (LLMs) have been transformative. They are pretrained foundational
models that are self-supervised and can be adapted with fine-tuning to a wide range of …

[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods

T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

Bias and unfairness in information retrieval systems: New challenges in the llm era

S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu - Proceedings of the 30th ACM …, 2024 - dl.acm.org
With the rapid advancements of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …

Can chatgpt assess human personalities? a general evaluation framework

H Rao, C Leung, C Miao - arXiv preprint arXiv:2303.01248, 2023 - arxiv.org
Large Language Models (LLMs) especially ChatGPT have produced impressive results in
various areas, but their potential human-like psychology is still largely unexplored. Existing …