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Identify the benchmark that was the sole exception to GPT-4 surpassing previous state-of-the-art models, and state the two specific capabilities it tests.
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Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Ch.1 Foundation Model Capabilities and Benchmarking - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Academic and Professional Benchmark Performance - Frontier Foundation Models, Capability Evaluation, and Just-In-Time Agent Harnesses @ University of Michigan - Ann Arbor
Related
Across nearly all evaluated academic natural language processing datasets, GPT-4 surpassed previous state-of-the-art models that relied on benchmark-specific fine-tuning or hand-engineering.
Describe how GPT-4 compares to preceding large language models on traditional academic natural language processing benchmarks, and specify the evaluation condition under which this comparison was made.
Related
Across nearly all evaluated academic natural language processing datasets, GPT-4 surpassed previous state-of-the-art models that relied on benchmark-specific fine-tuning or hand-engineering.
Describe how GPT-4 compares to preceding large language models on traditional academic natural language processing benchmarks, and specify the evaluation condition under which this comparison was made.