Benchmarks for automated commonsense reasoning: A survey
E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
Having beer after prayer? measuring cultural bias in large language models
As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
Knowledge of cultural moral norms in large language models
A Ramezani, Y Xu - arXiv preprint arXiv:2306.01857, 2023 - arxiv.org
Moral norms vary across cultures. A recent line of work suggests that English large language
models contain human-like moral biases, but these studies typically do not examine moral …
models contain human-like moral biases, but these studies typically do not examine moral …
GPT4GEO: How a Language Model Sees the World's Geography
Large language models (LLMs) have shown remarkable capabilities across a broad range
of tasks involving question answering and the generation of coherent text and code …
of tasks involving question answering and the generation of coherent text and code …
Culturally aware natural language inference
Humans produce and consume language in a particular cultural context, which includes
knowledge about specific norms and practices. A listener's awareness of the cultural context …
knowledge about specific norms and practices. A listener's awareness of the cultural context …
Gradientcoin: A peer-to-peer decentralized large language models
Since 2008, after the proposal of a Bitcoin electronic cash system, Bitcoin has fundamentally
changed the economic system over the last decade. Since 2022, large language models …
changed the economic system over the last decade. Since 2022, large language models …
Inspecting the geographical representativeness of images from text-to-image models
Recent progress in generative models has resulted in models that produce both realistic as
well as relevant images for most textual inputs. These models are being used to generate …
well as relevant images for most textual inputs. These models are being used to generate …
Extracting cultural commonsense knowledge at scale
Structured knowledge is important for many AI applications. Commonsense knowledge,
which is crucial for robust human-centric AI, is covered by a small number of structured …
which is crucial for robust human-centric AI, is covered by a small number of structured …
Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Givl: Improving geographical inclusivity of vision-language models with pre-training methods
A key goal for the advancement of AI is to develop technologies that serve the needs not just
of one group but of all communities regardless of their geographical region. In fact, a …
of one group but of all communities regardless of their geographical region. In fact, a …