AlgorithmicResearchGroup/gpt2-xs
Text Generation • 30M • Updated • 370
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ARG studies how software and industrial systems recursively improve themselves in real-world settings, with a focus on measuring progress, building tools, and understanding the behavior and limits of self-improving systems.
Website: algorithmicresearchgroup.com
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AlgorithmicResearchGroup/phi-2-arxiv-math-instruct
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AlgorithmicResearchGroup/phi-2-arxiv-physics-instruct
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AlgorithmicResearchGroup/phi-science-generalist-instruct
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AlgorithmicResearchGroup/arxiv-physics-instruct-mistral-7b-v2
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AlgorithmicResearchGroup/arxiv-math-instruct-mistral-7b
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AlgorithmicResearchGroup/arxiv-nlp-instruct-mistral-7b
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AlgorithmicResearchGroup/arxiv-physics-instruct-mistral-7b
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AlgorithmicResearchGroup/phi-physics
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AlgorithmicResearchGroup/phi-metamath
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datasets 42
AlgorithmicResearchGroup/s2orc-cs-enriched
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AlgorithmicResearchGroup/aria-repo-benchmark
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AlgorithmicResearchGroup/aria-search-benchmark_v2-public
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AlgorithmicResearchGroup/s2orc_full_embed
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AlgorithmicResearchGroup/aria-search-benchmark
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AlgorithmicResearchGroup/openreview-pretraining
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AlgorithmicResearchGroup/openreview-papers-with-reviews
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AlgorithmicResearchGroup/s2orc_arxiv
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AlgorithmicResearchGroup/math_reasoning_autoformalization_track_test
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AlgorithmicResearchGroup/math_reasoning_autoformalization_track
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