ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
ATOMIC organizes everyday commonsense knowledge as typed relationships between events, intentions, reactions, and consequences.
Paper & contextStudying commonsense knowledge and model behavior.
Choi studies commonsense reasoning, language-model behavior, and the limits of what models learn. This selection connects resources for social and everyday reasoning with newer approaches to training, evaluating, and improving language-model capabilities.
10 papers
ATOMIC organizes everyday commonsense knowledge as typed relationships between events, intentions, reactions, and consequences.
Paper & contextSocialIQA tests commonsense reasoning about everyday social situations using multiple-choice questions.
Paper & contextSelected research in machine learning, ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextBIG-bench collects a broad set of language-model evaluation tasks to study capabilities and limitations beyond a single benchmark.
Paper & contextSelected research in machine learning, ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextAn independent editorial profile. Inclusion does not imply Council membership or endorsement. Research is collaborative; coauthorship does not imply sole credit.
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