Holistic Evaluation of Language Models
Selected research in language models, ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextMaking language-model evaluation broader and more transparent.
Liang studies the foundations, evaluation, and social consequences of machine learning. These papers connect broad language-model evaluation with data, transparency, and questions about what model benchmarks actually establish.
10 papers
Selected research in language models, ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in computer vision, language models. 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 ai evaluation, language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in machine learning, ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai evaluation. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai evaluation. 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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