Using large language models in psychology

D Demszky, D Yang, DS Yeager, CJ Bryan… - Nature Reviews …, 2023 - nature.com
Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …

Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects

S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …

Obelics: An open web-scale filtered dataset of interleaved image-text documents

H Laurençon, L Saulnier, L Tronchon… - Advances in …, 2024 - proceedings.neurips.cc
Large multimodal models trained on natural documents, which interleave images and text,
outperform models trained on image-text pairs on various multimodal benchmarks …

“What can ChatGPT do?” Analyzing early reactions to the innovative AI chatbot on Twitter

V Taecharungroj - Big Data and Cognitive Computing, 2023 - mdpi.com
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first
month after its launch. A total of 233,914 English tweets were analyzed using the latent …

The simple macroeconomics of AI

D Acemoglu - Economic Policy, 2025 - academic.oup.com
This paper evaluates claims about the large macroeconomic implications of new advances
in Artificial intelligence (AI). It starts from a task-based model of AI's effects, working through …

Multimodal c4: An open, billion-scale corpus of images interleaved with text

W Zhu, J Hessel, A Awadalla… - Advances in …, 2024 - proceedings.neurips.cc
In-context vision and language models like Flamingo support arbitrarily interleaved
sequences of images and text as input. This format not only enables few-shot learning via …

Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions

J Zhou, Y Zhang, Q Luo, AG Parker… - Proceedings of the 2023 …, 2023 - dl.acm.org
Large language models have abilities in creating high-volume human-like texts and can be
used to generate persuasive misinformation. However, the risks remain under-explored. To …

" I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

MU Haque, I Dharmadasa, ZT Sworna… - arxiv preprint arxiv …, 2022 - arxiv.org
Large language models have recently attracted significant attention due to their impressive
performance on a variety of tasks. ChatGPT developed by OpenAI is one such …

Halueval: A large-scale hallucination evaluation benchmark for large language models

J Li, X Cheng, WX Zhao, JY Nie, JR Wen - arxiv preprint arxiv:2305.11747, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, are prone to generate hallucinations, ie,
content that conflicts with the source or cannot be verified by the factual knowledge. To …