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OpenAI | gpt-2 | xl | null | null | Industry | open | North America | United States | third-party-papers_104 | true | 5 | 2,020 | {"title": "Extracting Training Data from Large Language Models", "url": "https://arxiv.org/pdf/2012.07805.pdf"} | 3 | false |
OpenAI | gpt-2 | small | null | null | Industry | open | North America | United States | third-party-papers_104 | true | 5 | 2,020 | {"title": "Extracting Training Data from Large Language Models", "url": "https://arxiv.org/pdf/2012.07805.pdf"} | 3 | false |
OpenAI | gpt-2 | medium | null | null | Industry | open | North America | United States | third-party-papers_104 | true | 5 | 2,020 | {"title": "Extracting Training Data from Large Language Models", "url": "https://arxiv.org/pdf/2012.07805.pdf"} | 3 | false |
EleutherAI | gpt-neo | 125 million | null | null | Nonprofit | open | North America | United States | third-party-papers_105 | false | 5 | 2,022 | {"title": "Are Large Pre-Trained Language Models Leaking Your Personal Information?", "url": "http://arxiv.org/pdf/2205.12628"} | 3 | false |
EleutherAI | gpt-neo | 1.3 billion | null | null | Nonprofit | open | North America | United States | third-party-papers_105 | false | 5 | 2,022 | {"title": "Are Large Pre-Trained Language Models Leaking Your Personal Information?", "url": "http://arxiv.org/pdf/2205.12628"} | 3 | false |
EleutherAI | gpt-neo | 2.7 billion | null | null | Nonprofit | open | North America | United States | third-party-papers_105 | false | 5 | 2,022 | {"title": "Are Large Pre-Trained Language Models Leaking Your Personal Information?", "url": "http://arxiv.org/pdf/2205.12628"} | 3 | false |
OpenAI | gpt-3 | 350M | null | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 1.3B | null | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 6.7B | null | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 175B | null | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
EleutherAI | gpt-neo-x | 20B | null | null | Nonprofit | open | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
EleutherAI | gpt-j | 6B | null | null | Nonprofit | open | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
Z.ai | glm | 130B | null | null | Industry | closed | East Asia | China | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
Meta | opt | 66B | null | null | Industry | open | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
BigScience | bloom | 176B | null | null | Academia | open | Europe | France | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
Meta | opt | 175B | null | null | Industry | open | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 350M | text-ada-001 | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 1.3B | text-babbage-001 | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 6.7B | text-curie-001 | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-002 | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_106 | false | 5 | 2,023 | {"title": "Foundation Models and Fair Use", "url": "http://arxiv.org/pdf/2303.15715"} | 3 | false |
OpenAI | gpt-2 | 117M | small | null | Industry | open | North America | United States | third-party-papers_107 | false | 1 | 2,020 | {"title": "StereoSet: Measuring stereotypical bias in pretrained language models", "url": "https://aclanthology.org/2021.acl-long.416.pdf"} | 3 | false |
OpenAI | gpt-2 | 345M | medium | null | Industry | open | North America | United States | third-party-papers_107 | false | 1 | 2,020 | {"title": "StereoSet: Measuring stereotypical bias in pretrained language models", "url": "https://aclanthology.org/2021.acl-long.416.pdf"} | 3 | false |
OpenAI | gpt-2 | 774M | large | null | Industry | open | North America | United States | third-party-papers_107 | false | 1 | 2,020 | {"title": "StereoSet: Measuring stereotypical bias in pretrained language models", "url": "https://aclanthology.org/2021.acl-long.416.pdf"} | 3 | false |
BigScience | bloomz | 560M | null | null | Academia | open | Europe | France | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
BigScience | bloomz | 1B | null | null | Academia | open | Europe | France | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
BigScience | bloomz | 3B | null | null | Academia | open | Europe | France | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
BigScience | bloomz | 7B | null | null | Academia | open | Europe | France | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
Google | flan-t5 | 222M | base | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
Google | flan-t5 | 750M | large | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
Google | flan-t5 | 2.8B | xl | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
Google | flan-t5 | 11B | xxl | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 3 | false |
RunwayML | stable-diffusion-1.5 | null | null | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
StabilityAI | stable-diffusion-2.1 | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
StabilityAI | SDXL | null | xl-base | null | Industry | open | Europe | United Kingdom | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
CompVis | stable-diffusion-1.4 | null | null | null | Academia | open | Europe | Germany | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
OpenAI | gpt-2 | 124M | base | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
BigScience | bloom | 560M | null | null | Academia | open | Europe | France | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
Meta | opt | 6.7B | null | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
EleutherAI | gpt-neo | 125M | null | null | Nonprofit | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
OpenAI | gpt-2 | 355M | medium | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
Meta | opt | 1.3B | opt | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
OpenAI | gpt-2 | 1.5B | xl | null | Industry | open | North America | United States | third-party-papers_108 | false | 4 | 2,023 | {"title": "Power Hungry Processing: Watts Driving the Cost of AI Deployment?", "url": "https://arxiv.org/pdf/2311.16863.pdf"} | 2 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
Z.ai | glm | 350M | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
Z.ai | glm | 350M | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
Z.ai | glm | 10B | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
Z.ai | glm | 10B | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
Z.ai | glm | 130B | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
Z.ai | glm | 130B | null | null | Industry | closed | East Asia | China | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
Z.ai | chatglm | 6B | null | null | Industry | open | East Asia | China | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
Z.ai | chatglm | 6B | null | null | Industry | open | East Asia | China | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
BigScience | bloomz | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 1 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 3 | false |
BigScience | bloomz | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_109 | false | 2 | 2,023 | {"title": "CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models", "url": "http://arxiv.org/pdf/2306.16244"} | 2 | false |
OpenAI | gpt-2 | 1.5B | XL | null | Industry | open | North America | United States | third-party-papers_110 | false | 4 | 2,019 | {"title": "Energy and Policy Considerations for Deep Learning in NLP", "url": "https://arxiv.org/pdf/1906.02243.pdf"} | 3 | false |
OpenAI | gpt-2 | 1.5B | XL | null | Industry | open | North America | United States | third-party-papers_110 | false | 6 | 2,019 | {"title": "Energy and Policy Considerations for Deep Learning in NLP", "url": "https://arxiv.org/pdf/1906.02243.pdf"} | 3 | false |
OpenAI | gpt-2 | 124M | small | null | Industry | open | North America | United States | third-party-papers_111 | false | 1 | 2,023 | {"title": "An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models", "url": "http://arxiv.org/pdf/2306.04067"} | 3 | false |
OpenAI | gpt-2 | 1.5B | XL | null | Industry | open | North America | United States | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 1.5B | XL | null | Industry | open | North America | United States | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 774M | L | null | Industry | open | North America | United States | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 774M | L | null | Industry | open | North America | United States | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 355M | M | null | Industry | open | North America | United States | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 355M | M | null | Industry | open | North America | United States | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 124M | S | null | Industry | open | North America | United States | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-2 | 124M | S | null | Industry | open | North America | United States | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 175B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 175B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 30B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 30B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 1.3B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | opt | 1.3B | null | null | Industry | open | North America | United States | third-party-papers_112 | true | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 3.0B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 3.0B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 1.7B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 1.7B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 1.1B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 1.1B | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 559M | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
BigScience | bloom | 559M | null | null | Academia | open | Europe | France | third-party-papers_112 | false | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_112 | true | 1 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_112 | true | 2 | 2,023 | {"title": "ROBBIE: Robust Bias Evaluation of Large Generative Language Models", "url": "https://arxiv.org/pdf/2311.18140.pdf"} | 3 | false |
OpenAI | gpt-3 | 1.3B | null | null | Industry | closed | North America | United States | third-party-papers_113 | false | 6 | 2,022 | {"title": "Decentralized Training of Foundation Models in Heterogeneous Environments", "url": "http://arxiv.org/pdf/2206.01288"} | 3 | false |
OpenAI | gpt-3 | 6.7B | null | null | Industry | closed | North America | United States | third-party-papers_113 | false | 6 | 2,022 | {"title": "Decentralized Training of Foundation Models in Heterogeneous Environments", "url": "http://arxiv.org/pdf/2206.01288"} | 3 | false |
OpenAI | gpt-3 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_113 | false | 6 | 2,022 | {"title": "Decentralized Training of Foundation Models in Heterogeneous Environments", "url": "http://arxiv.org/pdf/2206.01288"} | 3 | false |
CompVis | stable-diffusion-1.4 | null | null | null | Academia | open | Europe | Germany | third-party-papers_114 | false | 5 | 2,023 | {"title": "Extracting Training Data from Diffusion Models", "url": "http://arxiv.org/pdf/2301.13188"} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_115 | false | 2 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_115 | false | 3 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
Anthropic | claude-1 | null | null | v1.3 | Industry | closed | North America | United States | third-party-papers_115 | false | 2 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
Anthropic | claude-1 | null | null | v1.3 | Industry | closed | North America | United States | third-party-papers_115 | false | 3 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
Anthropic | claude-1 | null | instant | v1.0 | Industry | closed | North America | United States | third-party-papers_115 | false | 2 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
Anthropic | claude-1 | null | instant | v1.0 | Industry | closed | North America | United States | third-party-papers_115 | false | 3 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
BigScience | bloomz | 176B | null | null | Academia | open | Europe | France | third-party-papers_115 | false | 2 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
BigScience | bloomz | 176B | null | null | Academia | open | Europe | France | third-party-papers_115 | false | 3 | 2,023 | {"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models", "url": "http://arxiv.org/pdf/2305.08322"} | 2 | false |
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