A review on fairness in machine learning

D Pessach, E Shmueli - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …

[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Sparks of artificial general intelligence: Early experiments with gpt-4

S Bubeck, V Chandrasekaran, R Eldan… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) researchers have been developing and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …

Pythia: A suite for analyzing large language models across training and scaling

S Biderman, H Schoelkopf… - International …, 2023 - proceedings.mlr.press
How do large language models (LLMs) develop and evolve over the course of training?
How do these patterns change as models scale? To answer these questions, we introduce …

Holistic evaluation of language models

P Liang, R Bommasani, T Lee, D Tsipras… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …

Imagen video: High definition video generation with diffusion models

J Ho, W Chan, C Saharia, J Whang, R Gao… - arXiv preprint arXiv …, 2022 - arxiv.org
We present Imagen Video, a text-conditional video generation system based on a cascade
of video diffusion models. Given a text prompt, Imagen Video generates high definition …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Photorealistic text-to-image diffusion models with deep language understanding

C Saharia, W Chan, S Saxena, L Li… - Advances in neural …, 2022 - proceedings.neurips.cc
We present Imagen, a text-to-image diffusion model with an unprecedented degree of
photorealism and a deep level of language understanding. Imagen builds on the power of …

Lamda: Language models for dialog applications

R Thoppilan, D De Freitas, J Hall, N Shazeer… - arXiv preprint arXiv …, 2022 - arxiv.org
We present LaMDA: Language Models for Dialog Applications. LaMDA is a family of
Transformer-based neural language models specialized for dialog, which have up to 137B …

Towards a unified view of parameter-efficient transfer learning

J He, C Zhou, X Ma, T Berg-Kirkpatrick… - arXiv preprint arXiv …, 2021 - arxiv.org
Fine-tuning large pre-trained language models on downstream tasks has become the de-
facto learning paradigm in NLP. However, conventional approaches fine-tune all the …