provider stringclasses 54 values | name stringclasses 186 values | size stringclasses 120 values | variant stringclasses 110 values | version stringclasses 110 values | sector stringclasses 4 values | openness stringclasses 2 values | region stringclasses 5 values | country stringclasses 13 values | source_id stringclasses 434 values | is_first_party bool 2 classes | category int64 1 7 | year int64 2.02k 2.03k | metadata stringclasses 433 values | score float64 0 3 | is_model_release bool 2 classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_45 | false | 2 | 2,024 | {'title': 'NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:269282746'} | 3 | false |
Ai2 | olmo-1 | 7B | chat | null | Nonprofit | open | North America | United States | third-party-papers_45 | false | 2 | 2,024 | {'title': 'NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:269282746'} | 3 | false |
Ai2 | olmo-1 | 7B | base | null | Nonprofit | open | North America | United States | third-party-papers_45 | false | 2 | 2,024 | {'title': 'NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:269282746'} | 3 | false |
OpenAI | gpt-4 | null | null | 1106 | Industry | closed | North America | United States | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
Meta | llama-2 | 70B | chat | null | Industry | open | North America | United States | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
OpenAI | gpt-3.5 | null | null | 613 | Industry | closed | North America | United States | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
Mistral | mistral | 7B | instruct | null | Industry | open | Europe | France | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
Meta | llama-2 | 13B | chat | null | Industry | open | North America | United States | third-party-papers_46 | false | 2 | 2,024 | {'title': 'Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models', 'url': 'https://arxiv.org/pdf/2402.16786.pdf'} | 3 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
Meta | llama-2 | 13B | null | null | Industry | open | North America | United States | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
Meta | llama-3 | 8B | null | null | Industry | open | North America | United States | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_5 | false | 1 | 2,024 | {'title': 'CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270878599'} | 3 | false |
Google | gemma-1 | 7B | instruct | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Meta | llama-3 | 8B | instruct | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Meta | llama-3 | 70B | instruct | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Mistral | mistral | 7B | instruct | null | Industry | open | Europe | France | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Meta | llama-2 | 13B | chat | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
OpenAI | gpt-4 | null | preview | null | Industry | closed | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Mistral | mixtral | 8x7B | instruct | null | Industry | open | Europe | France | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Meta | llama-2 | 70B | chat | null | Industry | open | North America | United States | third-party-papers_47 | false | 2 | 2,024 | {'title': 'STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions', 'url': 'https://api.semanticscholar.org/CorpusId:272827681'} | 3 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_48 | false | 2 | 2,024 | {'title': 'ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations', 'url': 'https://api.semanticscholar.org/CorpusId:270562146'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_48 | false | 2 | 2,024 | {'title': 'ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations', 'url': 'https://api.semanticscholar.org/CorpusId:270562146'} | 3 | false |
Meta | llama-3 | 8B | null | null | Industry | open | North America | United States | third-party-papers_48 | false | 2 | 2,024 | {'title': 'ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations', 'url': 'https://api.semanticscholar.org/CorpusId:270562146'} | 3 | false |
Alibaba | qwen-1 | 2.7B | null | null | Industry | open | East Asia | China | third-party-papers_48 | false | 2 | 2,024 | {'title': 'ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations', 'url': 'https://api.semanticscholar.org/CorpusId:270562146'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_49 | false | 2 | 2,025 | {'title': 'Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights', 'url': 'https://api.semanticscholar.org/CorpusId:279251724'} | 3 | false |
Alibaba | qwen-2.5 | 7B | null | null | Industry | open | East Asia | China | third-party-papers_49 | false | 2 | 2,025 | {'title': 'Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights', 'url': 'https://api.semanticscholar.org/CorpusId:279251724'} | 3 | false |
Meta | llama-3.1 | 8B | null | null | Industry | open | North America | United States | third-party-papers_49 | false | 2 | 2,025 | {'title': 'Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights', 'url': 'https://api.semanticscholar.org/CorpusId:279251724'} | 3 | false |
Google | gemma-2 | 9B | null | null | Industry | open | North America | United States | third-party-papers_49 | false | 2 | 2,025 | {'title': 'Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights', 'url': 'https://api.semanticscholar.org/CorpusId:279251724'} | 3 | false |
OpenAI | gpt-4 | null | null | 1106-preview | Industry | closed | North America | United States | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | gemini-1.0 | null | pro | null | Industry | closed | North America | United States | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | palm-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | palm-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
OpenAI | gpt-3.5 | null | null | turbo-1106 | Industry | closed | North America | United States | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Mistral | mistral | 7B | instruct | v0.1 | Industry | open | Europe | France | third-party-papers_50 | false | 3 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | gemini-1.0 | null | pro | null | Industry | closed | North America | United States | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Mistral | mistral | 7B | instruct | v0.1 | Industry | open | Europe | France | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | palm-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Google | palm-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
OpenAI | gpt-4 | null | null | 1106-preview | Industry | closed | North America | United States | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
OpenAI | gpt-3.5 | null | null | turbo-1106 | Industry | closed | North America | United States | third-party-papers_50 | false | 2 | 2,024 | {'title': 'MiTTenS: A Dataset for Evaluating Gender Mistranslation', 'url': 'https://api.semanticscholar.org/CorpusId:266999171'} | 3 | false |
Anthropic | claude-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
Google | gemini-1.0 | null | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_6 | false | 1 | 2,024 | {'title': 'Certifying Counterfactual Bias in LLMs', 'url': 'https://api.semanticscholar.org/CorpusId:270094829'} | 2 | false |
Cohere | command-r | null | null | null | Industry | open | North America | Canada | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
Mistral | mixtral | 8x7B | null | null | Industry | open | Europe | France | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
Mistral | mixtral | 8x22B | null | null | Industry | open | Europe | France | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
Meta | llama-3.1 | 8B | instruct | null | Industry | open | North America | United States | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
Meta | llama-3.1 | 70B | instruct | null | Industry | open | North America | United States | third-party-papers_51 | false | 2 | 2,024 | {'title': 'Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse', 'url': 'https://api.semanticscholar.org/CorpusId:274981488'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_52 | false | 2 | 2,024 | {'title': 'CulturePark: Boosting Cross-cultural Understanding in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270045711'} | 2 | false |
Google | gemini-1.0 | null | pro | null | Industry | closed | North America | United States | third-party-papers_52 | false | 2 | 2,024 | {'title': 'CulturePark: Boosting Cross-cultural Understanding in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270045711'} | 2 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_52 | false | 2 | 2,024 | {'title': 'CulturePark: Boosting Cross-cultural Understanding in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270045711'} | 2 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_53 | false | 2 | 2,024 | {'title': 'What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection', 'url': 'https://api.semanticscholar.org/CorpusId:267364802'} | 2 | false |
Meta | llama-2 | 70B | null | null | Industry | open | North America | United States | third-party-papers_53 | false | 2 | 2,024 | {'title': 'What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection', 'url': 'https://api.semanticscholar.org/CorpusId:267364802'} | 2 | false |
Microsoft | llava-1 | null | null | v1.6 | Industry | open | North America | United States | third-party-papers_54 | true | 3 | 2,024 | {'title': 'CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270371398', 'release_date': '2024-06-10'} | 3 | false |
Alibaba | qwen-vl | 7B | chat | null | Industry | open | East Asia | China | third-party-papers_54 | false | 3 | 2,024 | {'title': 'CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270371398', 'release_date': '2024-06-10'} | 3 | false |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 1 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 3 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 2 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 2 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 3 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 3 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 4 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 0 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 5 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 0 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 6 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 0 | true |
Google | sparrow | null | null | null | Industry | closed | North America | United States | first-party-172 | true | 7 | 2,022 | {'url': ['https://arxiv.org/pdf/2209.14375', 'https://deepmind.google/discover/blog/building-safer-dialogue-agents/'], 'release_date': '2022-09-22'} | 3 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 1 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 3 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 2 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 3 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 3 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 2 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 4 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 3 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 5 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 0 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 6 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 2 | true |
Google | gopher | null | null | null | Industry | closed | North America | United States | first-party-173 | true | 7 | 2,021 | {'url': ['https://arxiv.org/pdf/2112.11446', 'https://deepmind.google/discover/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval/'], 'release_date': '2021-12-08'} | 0 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 1 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 1 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 2 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 1 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 3 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 2 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 4 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 3 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 5 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 2 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 6 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 1 | true |
Meta | llama-3.1 | null | null | null | Industry | open | North America | United States | first-party-174 | true | 7 | 2,024 | {'url': ['https://ai.meta.com/blog/meta-llama-3-1/', 'https://ai.meta.com/blog/meta-llama-3-1-ai-responsibility/', 'https://huggingface.co/meta-llama/Llama-3.1-8B', 'https://ai.meta.com/research/publications/the-llama-3-herd-of-models/'], 'release_date': '2024-07-23'} | 0 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 1 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 3 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 2 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 2 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 3 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 0 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 4 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 0 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 5 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 0 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 6 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 0 | true |
Anthropic | claude-3.7 | null | null | null | Industry | closed | North America | United States | first-party-175 | true | 7 | 2,025 | {'url': ['https://www.anthropic.com/news/claude-3-7-sonnet', 'https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf'], 'release_date': '2025-02-24'} | 0 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 1 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 0 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 2 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 0 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 3 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 0 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 4 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 1 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 5 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 0 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 6 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 1 | true |
Microsoft | llava-1 | null | null | null | Industry | open | North America | United States | first-party-176 | true | 7 | 2,023 | {'url': ['https://arxiv.org/pdf/2304.08485', 'https://llava-vl.github.io/', 'https://www.microsoft.com/en-us/research/project/llava-large-language-and-vision-assistant/'], 'release_date': '2023-04-17'} | 0 | true |
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