Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
Using large language models to simulate multiple humans and replicate human subject studies
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 …
extent a given language model, such as GPT models, can simulate different aspects of …
Should chatGPT and bard share revenue with their data providers? A new business model for the AI era
D Zhang - arXiv preprint arXiv:2305.02555, 2023 - arxiv.org
With various AI tools such as ChatGPT becoming increasingly popular, we are entering a
true AI era. We can foresee that exceptional AI tools will soon reap considerable profits. A …
true AI era. We can foresee that exceptional AI tools will soon reap considerable profits. A …
Making intelligence: Ethical values in iq and ml benchmarks
B Blili-Hamelin, L Hancox-Li - Proceedings of the 2023 ACM Conference …, 2023 - dl.acm.org
In recent years, ML researchers have wrestled with defining and improving machine
learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the …
learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the …
Gar-meets-rag paradigm for zero-shot information retrieval
Given a query and a document corpus, the information retrieval (IR) task is to output a
ranked list of relevant documents. Combining large language models (LLMs) with …
ranked list of relevant documents. Combining large language models (LLMs) with …
Towards auditing large language models: Improving text-based stereotype detection
Large Language Models (LLM) have made significant advances in the recent past becoming
more mainstream in Artificial Intelligence (AI) enabled human-facing applications. However …
more mainstream in Artificial Intelligence (AI) enabled human-facing applications. However …
A Statistical Turing Test for Generative Models
The emergence of human-like abilities of AI systems for content generation in domains such
as text, audio, and vision has prompted the development of classifiers to determine whether …
as text, audio, and vision has prompted the development of classifiers to determine whether …
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
Multimodal grounding for embodied ai via augmented reality headsets for natural language driven task planning
S Wanna, F Parra, R Valner, K Kruusamäe… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advances in generative modeling have spurred a resurgence in the field of
Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to …
Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to …
Holistic chemical evaluation reveals pitfalls in reaction prediction models
The prediction of chemical reactions has gained significant interest within the machine
learning community in recent years, owing to its complexity and crucial applications in …
learning community in recent years, owing to its complexity and crucial applications in …