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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthropic | claude-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Mistral | mixtral | 8x22B | instruct | null | Industry | open | Europe | France | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Meta | llama-2 | 13B | null | null | Industry | open | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Anthropic | claude-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
OpenAI | gpt-3 | null | null | davinci-002 | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Anthropic | claude-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Meta | llama-2 | 13B | chat | null | Industry | open | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Anthropic | claude-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | turbo | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Anthropic | claude-2.1 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Anthropic | claude-1.2 | null | null | null | Industry | closed | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_58 | false | 1 | 2,024 | {'title': 'Evaluating Language Model Character Traits', 'url': 'https://api.semanticscholar.org/CorpusId:273185522'} | 3 | false |
Ai2 | olmo-1 | 1B | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmo-2 | 13B | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmo-2 | 7B | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmo-1 | 700M | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmo-1 | 20M | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmo-1 | 150M | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
Ai2 | olmoe | null | null | null | Nonprofit | open | North America | United States | third-party-papers_59 | true | 4 | 2,025 | {'title': 'Holistically Evaluating the Environmental Impact of Creating Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:276902612', 'release_date': '2025-03-03'} | 3 | false |
CompVis | stable-diffusion-1.0 | null | null | v2.1 | Academia | open | Europe | Germany | third-party-papers_7 | false | 1 | 2,024 | {'title': 'Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach', 'url': 'https://api.semanticscholar.org/CorpusId:271328550'} | 1 | false |
CompVis | stable-diffusion-1.0 | null | null | v2.1 | Academia | open | Europe | Germany | third-party-papers_7 | false | 2 | 2,024 | {'title': 'Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach', 'url': 'https://api.semanticscholar.org/CorpusId:271328550'} | 1 | false |
Meta | llama-3 | 8B | instruct | null | Industry | open | North America | United States | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | turbo | Industry | closed | North America | United States | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
Alibaba | qwen-2 | 7B | instruct | null | Industry | open | East Asia | China | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
OpenAI | gpt-4 | null | preview | preview | Industry | closed | North America | United States | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
Z.ai | glm-4 | 9B | chat | null | Industry | open | East Asia | China | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
Mistral | mistral | 7B | instruct | v0.3 | Industry | open | Europe | France | third-party-papers_8 | false | 1 | 2,024 | {'title': 'Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective', 'url': 'https://api.semanticscholar.org/CorpusId:270619978'} | 3 | false |
OpenAI | gpt-4 | null | null | turbo | Industry | closed | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
Anthropic | claude-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
Google | gemini-2.0 | null | null | null | Industry | closed | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
Meta | llama-2 | 70B | null | null | Industry | open | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
Meta | llama-3.1 | 405B | null | null | Industry | open | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_9 | false | 1 | 2,025 | {'title': 'Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection', 'url': 'https://api.semanticscholar.org/CorpusId:275336873'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl2 | null | null | null | Government | open | East Asia | China | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Meta | llama-3.2 | null | null | null | Industry | open | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | SDXL | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl | null | mini | null | Government | open | East Asia | China | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Google | gemini-1.5 | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | canvas | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | lite | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl2 | null | null | null | Government | open | East Asia | China | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Meta | llama-3.2 | null | null | null | Industry | open | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl | null | mini | null | Government | open | East Asia | China | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | deepfloyd-if | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 5 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | lite | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | SDXL | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Google | gemini-1.5 | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl | null | mini | null | Government | open | East Asia | China | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | canvas | null | Industry | closed | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | deepfloyd-if | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Meta | llama-3.2 | null | null | null | Industry | open | North America | United States | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | lite | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Amazon | nova | null | canvas | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | SDXL | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Google | gemini-1.5 | null | pro | null | Industry | closed | North America | United States | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
StabilityAI | deepfloyd-if | null | null | null | Industry | open | Europe | United Kingdom | third-party-papers_60 | false | 2 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
ShanghaiAILab | internvl2 | null | null | null | Government | open | East Asia | China | third-party-papers_60 | false | 1 | 2,025 | {'title': 'MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models', 'url': 'https://arxiv.org/pdf/2503.14827.pdf'} | 3 | false |
Meta | opt | 6.7B | null | null | Industry | open | North America | United States | third-party-papers_61 | false | 2 | 2,024 | {'title': 'Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity', 'url': 'https://api.semanticscholar.org/CorpusId:269983207'} | 2 | false |
EleutherAI | gpt-j | 6B | null | null | Nonprofit | open | North America | United States | third-party-papers_61 | false | 2 | 2,024 | {'title': 'Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity', 'url': 'https://api.semanticscholar.org/CorpusId:269983207'} | 2 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_61 | false | 2 | 2,024 | {'title': 'Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity', 'url': 'https://api.semanticscholar.org/CorpusId:269983207'} | 2 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_61 | false | 2 | 2,024 | {'title': 'Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity', 'url': 'https://api.semanticscholar.org/CorpusId:269983207'} | 2 | false |
Mistral | mistral | 7B | sft | null | Industry | open | Europe | France | third-party-papers_61 | false | 2 | 2,024 | {'title': 'Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity', 'url': 'https://api.semanticscholar.org/CorpusId:269983207'} | 2 | false |
Meta | llama-1 | 30B | null | null | Industry | closed | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
BigScience | bloom | 3B | null | null | Academia | open | Europe | France | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Meta | llama-1 | 270B | null | null | Industry | closed | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Meta | llama-2 | 13B | null | null | Industry | open | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
BigScience | bloom | 1.1B | null | null | Academia | open | Europe | France | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
BigScience | bloom | 560M | null | null | Academia | open | Europe | France | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_10 | false | 1 | 2,024 | {'title': 'FairBelief - Assessing Harmful Beliefs in Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:268032787'} | 3 | false |
Anthropic | claude-4 | null | sonnet | null | Industry | closed | North America | United States | third-party-papers_62 | false | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Google | gemma-2 | 27B | null | null | Industry | open | North America | United States | third-party-papers_62 | false | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Alibaba | qwen-2.5 | 32B | null | null | Industry | open | East Asia | China | third-party-papers_62 | false | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Mistral | mistral-nemo | null | null | null | Industry | open | Europe | France | third-party-papers_62 | false | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_62 | false | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Cohere | command-r | null | plus | null | Industry | open | North America | Canada | third-party-papers_62 | true | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Cohere | aya-expanse | 32B | null | null | Industry | open | North America | Canada | third-party-papers_62 | true | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Meta | llama-3.1 | 70B | null | null | Industry | open | North America | United States | third-party-papers_62 | true | 3 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Mistral | mistral-nemo | null | null | null | Industry | open | Europe | France | third-party-papers_62 | false | 2 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_62 | false | 2 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
Google | gemma-2 | 27B | null | null | Industry | open | North America | United States | third-party-papers_62 | false | 2 | 2,025 | {'title': 'Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation', 'url': 'https://arxiv.org/pdf/2412.03304', 'release_date': '2025-02-19'} | 3 | false |
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