From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
A survey on fairness in large language models
Large language models (LLMs) have shown powerful performance and development
prospect and are widely deployed in the real world. However, LLMs can capture social …
prospect and are widely deployed in the real world. However, LLMs can capture social …
The rise and potential of large language model based agents: A survey
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 …
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
Lamda: Language models for dialog applications
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 …
Transformer-based neural language models specialized for dialog, which have up to 137B …
Ethics of large language models in medicine and medical research
Large language models (LLMs) are a type of deep learning model that are trained on vast
amounts of text data with the goal of generating new text that closely resembles human …
amounts of text data with the goal of generating new text that closely resembles human …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Marked personas: Using natural language prompts to measure stereotypes in language models
To recognize and mitigate harms from large language models (LLMs), we need to
understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …
understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …
On the dangers of stochastic parrots: Can language models be too big?🦜
EM Bender, T Gebru, A McMillan-Major… - Proceedings of the 2021 …, 2021 - dl.acm.org
The past 3 years of work in NLP have been characterized by the development and
deployment of ever larger language models, especially for English. BERT, its variants, GPT …
deployment of ever larger language models, especially for English. BERT, its variants, GPT …
Auto-debias: Debiasing masked language models with automated biased prompts
Human-like biases and undesired social stereotypes exist in large pretrained language
models. Given the wide adoption of these models in real-world applications, mitigating such …
models. Given the wide adoption of these models in real-world applications, mitigating such …
Chatgpt perpetuates gender bias in machine translation and ignores non-gendered pronouns: Findings across bengali and five other low-resource languages
S Ghosh, A Caliskan - Proceedings of the 2023 AAAI/ACM Conference …, 2023 - dl.acm.org
In this multicultural age, language translation is one of the most performed tasks, and it is
becoming increasingly AI-moderated and automated. As a novel AI system, ChatGPT claims …
becoming increasingly AI-moderated and automated. As a novel AI system, ChatGPT claims …