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Meta | llama-1 | 65B | 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 |
Meta | llama-1 | 65B | 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 |
Z.ai | glm | 130B | null | null | Industry | closed | East Asia | China | 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 |
Z.ai | glm | 130B | null | null | Industry | closed | East Asia | China | 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 |
Z.ai | chatglm | 6B | null | null | Industry | open | East Asia | China | 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 |
Z.ai | chatglm | 6B | null | null | Industry | open | East Asia | China | 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 |
OpenAI | gpt-2 | 345M | null | null | Industry | open | North America | United States | third-party-papers_116 | false | 2 | 2,019 | {"title": "Plug and Play Language Models: A Simple Approach to Controlled Text Generation", "url": "https://arxiv.org/pdf/1912.02164.pdf"} | 2 | false |
OpenAI | gpt-3 | 175B | text-davinci-002 | null | Industry | closed | North America | United States | third-party-papers_117 | false | 1 | 2,023 | {"title": "Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/26879"} | 3 | false |
OpenAI | gpt-2 | 124m | null | null | Industry | open | North America | United States | third-party-papers_118 | false | 1 | 2,021 | {"title": "Towards Understanding and Mitigating Social Biases in Language Models", "url": "https://arxiv.org/pdf/2106.13219.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-001 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 1 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-001 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 2 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 2 | false |
OpenAI | gpt-3 | 175B | text-davinci-002 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 1 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-002 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 2 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 2 | false |
OpenAI | gpt-3 | 175B | text-davinci-003 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 1 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-003 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 2 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 2 | false |
OpenAI | gpt-3 | 1.3B | text-babbage-001 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 1 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 3 | false |
OpenAI | gpt-3 | 6.7B | text-curie-001 | null | Industry | closed | North America | United States | third-party-papers_119 | false | 1 | 2,022 | {"title": "On Second Thought, Let\u2019s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning", "url": "http://arxiv.org/pdf/2212.08061"} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_120 | false | 4 | 2,021 | {"title": "IrEne: Interpretable Energy Prediction for Transformers", "url": "https://aclanthology.org/2021.acl-long.167.pdf"} | 3 | false |
OpenAI | gpt-1 | null | null | null | Industry | closed | North America | United States | third-party-papers_120 | false | 4 | 2,021 | {"title": "IrEne: Interpretable Energy Prediction for Transformers", "url": "https://aclanthology.org/2021.acl-long.167.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | null | null | Industry | closed | North America | United States | third-party-papers_121 | false | 2 | 2,021 | {"title": "TuringAdvice: A Generative and Dynamic Evaluation of Language Use", "url": "https://aclanthology.org/2021.naacl-main.386.pdf"} | 2 | false |
OpenAI | clip | null | null | null | Industry | open | North America | United States | third-party-papers_122 | false | 3 | 2,023 | {"title": "Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models", "url": "https://arxiv.org/pdf/2311.05746.pdf"} | 3 | false |
OpenAI | gpt-2 | 124m | small | null | Industry | open | North America | United States | third-party-papers_123 | false | 1 | 2,022 | {"title": "Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models", "url": "https://arxiv.org/pdf/2211.08461"} | 3 | false |
Meta | opt | 125m | null | null | Industry | open | North America | United States | third-party-papers_123 | false | 1 | 2,022 | {"title": "Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models", "url": "https://arxiv.org/pdf/2211.08461"} | 3 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_123 | false | 1 | 2,022 | {"title": "Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models", "url": "https://arxiv.org/pdf/2211.08461"} | 3 | false |
OpenAI | gpt-2 | 124m | small | null | Industry | open | North America | United States | third-party-papers_124 | false | 1 | 2,021 | {"title": "An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models", "url": "https://aclanthology.org/2022.acl-long.132.pdf"} | 3 | false |
OpenAI | gpt-2 | 124m | small | null | Industry | open | North America | United States | third-party-papers_125 | false | 1 | 2,023 | {"title": "Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads", "url": "https://arxiv.org/pdf/2311.10395.pdf"} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_125 | false | 1 | 2,023 | {"title": "Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads", "url": "https://arxiv.org/pdf/2311.10395.pdf"} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_125 | false | 1 | 2,023 | {"title": "Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads", "url": "https://arxiv.org/pdf/2311.10395.pdf"} | 3 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
BigScience | bloom | 3b | null | null | Academia | open | Europe | France | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
BigScience | bloom | 3b | null | null | Academia | open | Europe | France | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
OpenAI | gpt-2 | base | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
OpenAI | gpt-2 | base | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
OpenAI | gpt-2 | medium | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
OpenAI | gpt-2 | medium | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
Meta | llama-2 | 7b | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
Meta | llama-2 | 7b | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
Meta | llama-2 | 13b | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 1 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
Meta | llama-2 | 13b | null | null | Industry | open | North America | United States | third-party-papers_126 | false | 3 | 2,023 | {"title": "Social Bias Probing: Fairness Benchmarking for Language Models", "url": "https://arxiv.org/pdf/2311.09090.pdf"} | 3 | false |
OpenAI | gpt-3.5 | null | Turbo | null | Industry | closed | North America | United States | third-party-papers_127 | false | 2 | 2,023 | {"title": "Walking a Tightrope \u2013 Evaluating Large Language Models in High-Risk Domains", "url": "https://arxiv.org/pdf/2311.14966.pdf"} | 2 | false |
EleutherAI | gpt-neo | 125M | null | null | Nonprofit | open | North America | United States | third-party-papers_128 | false | 2 | 2,022 | {"title": "Contrastive Adapters for Foundation Model Group Robustness", "url": "http://arxiv.org/pdf/2207.07180"} | 2 | false |
EleutherAI | gpt-neo | 1.3B | null | null | Nonprofit | open | North America | United States | third-party-papers_128 | false | 2 | 2,022 | {"title": "Contrastive Adapters for Foundation Model Group Robustness", "url": "http://arxiv.org/pdf/2207.07180"} | 2 | false |
OpenAI | gpt-4 | null | null | gpt-4-0314 | Industry | closed | North America | United States | third-party-papers_129 | false | 1 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-4 | null | null | gpt-4-0314 | Industry | closed | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-4 | null | null | gpt-4-0314 | Industry | closed | North America | United States | third-party-papers_129 | false | 3 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-4 | null | null | gpt-4-0314 | Industry | closed | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3 | 350m | ada | null | Industry | closed | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3 | 6.7B | curie | null | Industry | closed | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3 | 175B | davinci | null | Industry | closed | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3.5 | null | Turbo | gpt-3.5-turbo-0301 | Industry | closed | North America | United States | third-party-papers_129 | false | 1 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3.5 | null | Turbo | gpt-3.5-turbo-0301 | Industry | closed | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3.5 | null | Turbo | gpt-3.5-turbo-0301 | Industry | closed | North America | United States | third-party-papers_129 | false | 3 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
OpenAI | gpt-3.5 | null | Turbo | gpt-3.5-turbo-0301 | Industry | closed | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
EleutherAI | gpt-neo | 1.3B | null | null | Nonprofit | open | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
EleutherAI | gpt-neo | 2.7B | null | null | Nonprofit | open | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
Meta | llama-2 | 7B | Chat | null | Industry | open | North America | United States | third-party-papers_129 | false | 1 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
Meta | llama-2 | 7B | Chat | null | Industry | open | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
Meta | llama-2 | 7B | Chat | null | Industry | open | North America | United States | third-party-papers_129 | false | 3 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
Meta | llama-2 | 7B | Chat | null | Industry | open | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
MosaicML | mpt | 7B | null | null | Industry | open | North America | United States | third-party-papers_129 | false | 1 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
MosaicML | mpt | 7B | null | null | Industry | open | North America | United States | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
MosaicML | mpt | 7B | null | null | Industry | open | North America | United States | third-party-papers_129 | false | 3 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
MosaicML | mpt | 7B | null | null | Industry | open | North America | United States | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
TII | falcon | 7B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_129 | false | 1 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
TII | falcon | 7B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_129 | false | 2 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
TII | falcon | 7B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_129 | false | 3 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
TII | falcon | 7B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_129 | false | 5 | 2,023 | {"title": "DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models", "url": "http://arxiv.org/pdf/2306.11698"} | 3 | false |
Google | palm | 540B | null | null | Industry | closed | North America | United States | third-party-papers_130 | true | 3 | 2,023 | {"title": "Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting", "url": "https://arxiv.org/pdf/2310.16523.pdf"} | 3 | false |
EleutherAI | gpt-neo | 1.3B | null | null | Nonprofit | open | North America | United States | third-party-papers_131 | false | 1 | 2,023 | {"title": "Evaluating Biased Attitude Associations of Language Models in an Intersectional Context", "url": "https://arxiv.org/pdf/2307.03360.pdf"} | 3 | false |
OpenAI | gpt-2 | medium | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
OpenAI | gpt-2 | medium | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
OpenAI | gpt-2 | xl | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
OpenAI | gpt-2 | xl | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 350m | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 350m | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 2.7b | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 2.7b | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 6.7b | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 6.7b | null | null | Industry | open | North America | United States | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 3b | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 3b | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 7.1b | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 1 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
BigScience | bloom | 7.1b | null | null | Academia | open | Europe | France | third-party-papers_132 | false | 3 | 2,023 | {"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models", "url": "http://arxiv.org/pdf/2306.15087"} | 3 | false |
Meta | opt | 6.7b | null | null | Industry | open | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
Meta | opt | 13b | null | null | Industry | open | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
Meta | llama-1 | 7b | null | null | Industry | closed | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
Meta | llama-1 | 13b | null | null | Industry | closed | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
Meta | llama-2 | 7b | null | null | Industry | open | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
Meta | llama-2 | 13b | null | null | Industry | open | North America | United States | third-party-papers_133 | false | 1 | 2,023 | {"title": "Layered Bias: Interpreting Bias in Pretrained Large Language Models", "url": "https://aclanthology.org/2023.blackboxnlp-1.22.pdf"} | 3 | false |
OpenAI | gpt-3 | null | ada | null | Industry | closed | North America | United States | third-party-papers_134 | false | 2 | 2,023 | {"title": "Assessing Political Inclination of Bangla Language Models", "url": "https://aclanthology.org/2023.banglalp-1.8.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-003 | null | Industry | closed | North America | United States | third-party-papers_134 | false | 2 | 2,023 | {"title": "Assessing Political Inclination of Bangla Language Models", "url": "https://aclanthology.org/2023.banglalp-1.8.pdf"} | 3 | false |
Google | flan-t5 | 3B | null | null | Industry | open | North America | United States | third-party-papers_135 | false | 2 | 2,023 | {"title": "A Group Fairness Lens for Large Language Models", "url": "https://arxiv.org/pdf/2312.15478.pdf"} | 2 | false |
Google | flan-t5 | 3B | null | null | Industry | open | North America | United States | third-party-papers_135 | false | 3 | 2,023 | {"title": "A Group Fairness Lens for Large Language Models", "url": "https://arxiv.org/pdf/2312.15478.pdf"} | 2 | false |
Z.ai | chatglm2 | 6B | null | null | Industry | open | East Asia | China | third-party-papers_135 | false | 2 | 2,023 | {"title": "A Group Fairness Lens for Large Language Models", "url": "https://arxiv.org/pdf/2312.15478.pdf"} | 2 | false |
Z.ai | chatglm2 | 6B | null | null | Industry | open | East Asia | China | third-party-papers_135 | false | 3 | 2,023 | {"title": "A Group Fairness Lens for Large Language Models", "url": "https://arxiv.org/pdf/2312.15478.pdf"} | 2 | false |
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