74 citations · 130 across the 4 of their papers we have counts for
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cs.AI2023★ 29 cited
Measuring Faithfulness in Chain-of-Thought Reasoning
Tamera Lanham, Anna Chen, Ansh Radhakrishnan +27
Large language models (LLMs) perform better when they produce step-by-step, "Chain-of-Thought" (CoT) reasoning before answering a question, but it is unclear if the stated reasonin…
cs.AI2022★ 74 cited
Mapping global dynamics of benchmark creation and saturation in artificial intelligence
Simon Ott, Adriano Barbosa-Silva, Kathrin Blagec +2
Benchmarks are crucial to measuring and steering progress in artificial intelligence (AI). However, recent studies raised concerns over the state of AI benchmarking, reporting issu…