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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OpenAI | gpt-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_86 | false | 2 | 2,020 | {"title": "Aligning AI With Shared Human Values", "url": "https://arxiv.org/pdf/2008.02275.pdf"} | 1 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_87 | false | 2 | 2,023 | {"title": "COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements", "url": "http://arxiv.org/pdf/2306.01985"} | 3 | false |
OpenAI | gpt-4 | null | chat | null | Industry | closed | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-2 | 70B | base | null | Industry | open | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
TII | falcon | 40B | base | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-1 | 65B | base | null | Industry | closed | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-2 | 13B | base | null | Industry | open | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
BigScience | bloomz | 7B | chat | null | Academia | open | Europe | France | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-1 | 30B | base | null | Industry | closed | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-2 | 7B | base | null | Industry | open | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Meta | llama-1 | 13B | base | null | Industry | closed | North America | United States | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Baichuan | baichuan-2 | 13B | base | null | Industry | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Baichuan | baichuan | 13B | base | null | Industry | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
ShanghaiAILab | internlm | 20B | chat | null | Government | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
ShanghaiAILab | internlm | 7B | base | null | Government | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Z.ai | chatglm2 | 6B | base | null | Industry | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Baichuan | baichuan | 7B | base | null | Industry | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
Z.ai | chatglm | 6B | chat | null | Industry | open | East Asia | China | third-party-papers_88 | false | 2 | 2,023 | {"title": "CMMLU: Measuring massive multitask language understanding in Chinese", "url": "http://arxiv.org/pdf/2306.09212"} | 3 | false |
OpenAI | gpt-1 | null | null | null | Industry | closed | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
EleutherAI | gpt-j | 6B | null | null | Nonprofit | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | opt | 1.3B | null | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | opt | 2.7B | null | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | opt | 6.7B | null | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloomz | 560m | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Google | flan-t5 | null | small | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Google | flan-t5 | null | base | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Google | flan-t5 | null | large | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Google | flan-t5 | null | xl | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Google | flan-t5 | null | xxl | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
EleutherAI | gpt-j | 6B | null | null | Nonprofit | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloom | 560m | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
MosaicML | mpt | 7B | null | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
MosaicML | mpt | 7B | instruct | null | Industry | open | North America | United States | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloom | 1B | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloom | 3B | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloom | 7B | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloomz | 1B | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
BigScience | bloomz | 7B | null | null | Academia | open | Europe | France | third-party-papers_89 | false | 2 | 2,023 | {"title": "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark", "url": "https://aclanthology.org/2023.emnlp-main.699.pdf"} | 2 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_90 | false | 2 | 2,023 | {"title": "Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions", "url": "https://arxiv.org/pdf/2309.07875"} | 1 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_90 | false | 2 | 2,023 | {"title": "Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions", "url": "https://arxiv.org/pdf/2309.07875"} | 1 | false |
TII | falcon | 7B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_90 | false | 2 | 2,023 | {"title": "Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions", "url": "https://arxiv.org/pdf/2309.07875"} | 1 | false |
OpenAI | clip | null | null | null | Industry | open | North America | United States | third-party-papers_91 | false | 2 | 2,022 | {"title": "A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning", "url": "https://arxiv.org/pdf/2203.11933"} | 2 | false |
OpenAI | clip | null | null | null | Industry | open | North America | United States | third-party-papers_91 | false | 1 | 2,022 | {"title": "A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning", "url": "https://arxiv.org/pdf/2203.11933"} | 3 | false |
OpenAI | gpt-3 | 1.3B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 1.3B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 6B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 6B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | null | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 1.3B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 1.3B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 1.3B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 6 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 1 | false |
OpenAI | gpt-3 | 6B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 6B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 6B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 6 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 1 | false |
OpenAI | gpt-3 | 175B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 1 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 2 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | InstructGPT | null | Industry | closed | North America | United States | third-party-papers_92 | true | 6 | 2,022 | {"title": "Training language models to follow instructions with human feedback", "url": "https://arxiv.org/pdf/2203.02155.pdf"} | 1 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_93 | false | 1 | 2,023 | {"title": "Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles", "url": "http://arxiv.org/pdf/2308.04346"} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_93 | false | 2 | 2,023 | {"title": "Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles", "url": "http://arxiv.org/pdf/2308.04346"} | 3 | false |
OpenAI | dall-e | null | mini | null | Industry | closed | North America | United States | third-party-papers_94 | false | 1 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
OpenAI | dall-e | null | mini | null | Industry | closed | North America | United States | third-party-papers_94 | false | 3 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
OpenAI | dall-e-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_94 | false | 1 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
OpenAI | dall-e-2 | null | null | null | Industry | closed | North America | United States | third-party-papers_94 | false | 3 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
RunwayML | stable-diffusion-1.5 | null | null | null | Industry | open | North America | United States | third-party-papers_94 | false | 1 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
RunwayML | stable-diffusion-1.5 | null | null | null | Industry | open | North America | United States | third-party-papers_94 | false | 3 | 2,023 | {"title": "Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models", "url": "http://arxiv.org/pdf/2305.17072"} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | opt | null | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
BigScience | bloom | null | null | null | Academia | open | Europe | France | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | llama-1 | null | null | null | Industry | closed | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
OpenAI | gpt-2 | 124M | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
OpenAI | gpt-2 | 355M | medium | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
OpenAI | gpt-2 | 774M | large | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
OpenAI | gpt-2 | 1.5B | xl | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
EleutherAI | gpt-j | 6.7B | null | null | Nonprofit | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
BigScience | bloom | 560M | null | null | Academia | open | Europe | France | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
BigScience | bloom | 1.1B | null | null | Academia | open | Europe | France | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
BigScience | bloom | 3B | null | null | Academia | open | Europe | France | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
BigScience | bloom | 7.1B | null | null | Academia | open | Europe | France | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | opt | 350M | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | opt | 1.3B | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | opt | 2.7B | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | opt | 6.7B | null | null | Industry | open | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_95 | false | 3 | 2,023 | {"title": "MISGENDERED: Limits of Large Language Models in Understanding Pronouns", "url": "https://arxiv.org/pdf/2306.03950"} | 3 | false |
OpenAI | gpt-3.5 | null | null | gpt-3.5-turbo-0301 | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
OpenAI | gpt-4 | null | null | gpt-4-0613 | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-002 | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
OpenAI | gpt-3 | 175B | text-davinci-003 | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-1 | 30b | null | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-1 | 65B | null | null | Industry | closed | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-2 | 13B | null | null | Industry | open | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
Meta | llama-2 | 13B | chat | null | Industry | open | North America | United States | third-party-papers_96 | false | 2 | 2,023 | {"title": "Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning", "url": "https://arxiv.org/pdf/2310.11053.pdf"} | 3 | false |
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