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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Meta | llama-2 | 70B | chat | null | Industry | open | North America | United States | third-party-papers_11 | false | 2 | 2,024 | {'title': 'From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards', 'url': 'https://api.semanticscholar.org/CorpusId:268536898'} | 3 | false |
Meta | llama-2 | 70B | chat | null | Industry | open | North America | United States | third-party-papers_11 | false | 1 | 2,024 | {'title': 'From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards', 'url': 'https://api.semanticscholar.org/CorpusId:268536898'} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_11 | false | 1 | 2,024 | {'title': 'From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards', 'url': 'https://api.semanticscholar.org/CorpusId:268536898'} | 3 | false |
Meta | llama-2 | 13B | chat | null | Industry | open | North America | United States | third-party-papers_11 | false | 1 | 2,024 | {'title': 'From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards', 'url': 'https://api.semanticscholar.org/CorpusId:268536898'} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_11 | false | 1 | 2,024 | {'title': 'From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards', 'url': 'https://api.semanticscholar.org/CorpusId:268536898'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
Google | gemini-1.0 | null | pro | null | Industry | closed | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
Meta | llama-2 | 70B | null | null | Industry | open | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
Z.ai | chatglm3 | null | null | null | Industry | open | East Asia | China | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
Meta | llama-2 | 13B | null | null | Industry | open | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_1 | false | 1 | 2,024 | {'title': ""ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation"", 'url': 'https://api.semanticscholar.org/CorpusId:269982327'} | 2 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_12 | false | 1 | 2,024 | {'title': 'GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction', 'url': 'https://api.semanticscholar.org/CorpusId:270045683'} | 3 | false |
Meta | opt | null | null | null | Industry | open | North America | United States | third-party-papers_12 | false | 1 | 2,024 | {'title': 'GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction', 'url': 'https://api.semanticscholar.org/CorpusId:270045683'} | 3 | false |
BigScience | bloom | null | null | null | Academia | open | Europe | France | third-party-papers_12 | false | 1 | 2,024 | {'title': 'GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction', 'url': 'https://api.semanticscholar.org/CorpusId:270045683'} | 3 | false |
OpenAI | gpt-4 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
Anthropic | claude-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
OpenAI | gpt-4 | null | mini | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
Meta | llama-3 | 405B | instruct | null | Industry | open | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
Mistral | mistral-large | null | null | 2 | Industry | open | Europe | France | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
OpenAI | o1 | null | preview | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
OpenAI | gpt-4 | null | null | 2024-08-06 | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
Google | gemini-1.5 | null | pro | null | Industry | closed | North America | United States | third-party-papers_13 | false | 1 | 2,024 | {'title': 'LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education', 'url': 'https://api.semanticscholar.org/CorpusId:273482637'} | 3 | false |
USTC_ShanghaiAILab_CUHK | sharegpt4v | null | null | null | Academia | open | East Asia | China | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
Alibaba | mplug-owl2 | null | null | null | Industry | open | East Asia | China | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
Google | gemini-1.0 | null | null | null | Industry | closed | North America | United States | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
Microsoft | llava-1 | 7B | null | v1.5 | Industry | open | North America | United States | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
ShanghaiAILab | internvl | null | null | v1.5 | Government | open | East Asia | China | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
DeepSeek | deepseek-vl | null | null | null | Industry | open | East Asia | China | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
Alibaba | qwen-vl | null | chat | null | Industry | open | East Asia | China | third-party-papers_14 | false | 1 | 2,024 | {'title': 'MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:270391761'} | 3 | false |
Meta | llama-3.1 | 8B | null | null | Industry | open | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
Meta | llama-3.1 | 70B | null | null | Industry | open | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
Meta | llama-3.2 | 3B | null | null | Industry | open | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
OpenAI | gpt-3.5 | null | null | null | Industry | closed | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
Meta | llama-3.2 | 1B | null | null | Industry | open | North America | United States | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
CompVis | stable-diffusion-1.0 | null | null | 3.5 | Academia | open | Europe | Germany | third-party-papers_2 | false | 1 | 2,025 | {'title': 'Adultification Bias in LLMs and Text-to-Image Models', 'url': 'https://api.semanticscholar.org/CorpusId:279251099'} | 3 | false |
EleutherAI | pythia | 6.9B | null | null | Nonprofit | open | North America | United States | third-party-papers_15 | false | 1 | 2,024 | {'title': 'The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:273850421', 'release_date': '2024-11-06'} | 3 | false |
Meta | llama-1 | 7B | null | null | Industry | closed | North America | United States | third-party-papers_15 | true | 1 | 2,024 | {'title': 'The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:273850421', 'release_date': '2024-11-06'} | 3 | false |
Meta | llama-1 | 13B | null | null | Industry | closed | North America | United States | third-party-papers_15 | true | 1 | 2,024 | {'title': 'The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:273850421', 'release_date': '2024-11-06'} | 3 | false |
EleutherAI | pythia | 2.8B | null | null | Nonprofit | open | North America | United States | third-party-papers_15 | false | 1 | 2,024 | {'title': 'The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:273850421', 'release_date': '2024-11-06'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_16 | false | 1 | 2,025 | {'title': ""Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning"", 'url': 'https://api.semanticscholar.org/CorpusId:278788525'} | 3 | false |
Meta | llama-3 | 8B | null | null | Industry | open | North America | United States | third-party-papers_16 | false | 1 | 2,025 | {'title': ""Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning"", 'url': 'https://api.semanticscholar.org/CorpusId:278788525'} | 3 | false |
OpenAI | gpt-3.5 | null | turbo | null | Industry | closed | North America | United States | third-party-papers_16 | false | 1 | 2,025 | {'title': ""Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning"", 'url': 'https://api.semanticscholar.org/CorpusId:278788525'} | 3 | false |
Google | gemini-1.5 | null | pro | null | Industry | closed | North America | United States | third-party-papers_16 | false | 1 | 2,025 | {'title': ""Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning"", 'url': 'https://api.semanticscholar.org/CorpusId:278788525'} | 3 | false |
Anthropic | claude-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_16 | false | 1 | 2,025 | {'title': ""Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning"", 'url': 'https://api.semanticscholar.org/CorpusId:278788525'} | 3 | false |
CompVis | stable-diffusion-1.0 | null | null | v1.4 | Academia | open | Europe | Germany | third-party-papers_17 | false | 1 | 2,024 | {'title': 'ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation', 'url': 'https://api.semanticscholar.org/CorpusId:266977586'} | 3 | false |
OpenAI | gpt-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_18 | false | 1 | 2,024 | {'title': 'We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271769637'} | 3 | false |
Meta | llama-2 | 70B | null | null | Industry | open | North America | United States | third-party-papers_18 | false | 1 | 2,024 | {'title': 'We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271769637'} | 3 | false |
OpenAI | gpt-2 | null | null | null | Industry | open | North America | United States | third-party-papers_19 | false | 1 | 2,024 | {'title': 'Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271064739'} | 3 | false |
Meta | llama-3 | 8B | null | null | Industry | open | North America | United States | third-party-papers_19 | false | 1 | 2,024 | {'title': 'Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271064739'} | 3 | false |
Meta | opt | 30B | null | null | Industry | open | North America | United States | third-party-papers_19 | false | 1 | 2,024 | {'title': 'Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271064739'} | 3 | false |
Google | flan-ul2 | 20B | null | null | Industry | open | North America | United States | third-party-papers_19 | false | 1 | 2,024 | {'title': 'Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271064739'} | 3 | false |
EleutherAI | gpt-neo-x | null | null | null | Nonprofit | open | North America | United States | third-party-papers_19 | false | 1 | 2,024 | {'title': 'Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models', 'url': 'https://api.semanticscholar.org/CorpusId:271064739'} | 3 | false |
Microsoft | llava-1 | null | null | v1.5 | Industry | open | North America | United States | third-party-papers_20 | false | 1 | 2,024 | {'title': '\\texttt\\ModSCAN\\: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities', 'url': 'https://api.semanticscholar.org/CorpusId:273901220'} | 3 | false |
Mistral | mistral | 7B | instruct | v0.2 | Industry | open | Europe | France | third-party-papers_21 | false | 1 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
TII | falcon | 7B | instruct | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_21 | false | 1 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Meta | llama-2 | 13B | chat | hf | Industry | open | North America | United States | third-party-papers_21 | false | 1 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Alibaba | qwen-1.5 | 14B | chat | null | Industry | open | East Asia | China | third-party-papers_21 | false | 1 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Mistral | mistral | 7B | instruct | v0.2 | Industry | open | Europe | France | third-party-papers_21 | false | 2 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
TII | falcon | 7B | instruct | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_21 | false | 2 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Meta | llama-2 | 13B | chat | hf | Industry | open | North America | United States | third-party-papers_21 | false | 2 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Alibaba | qwen-1.5 | 14B | chat | null | Industry | open | East Asia | China | third-party-papers_21 | false | 2 | 2,024 | {'title': 'How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies', 'url': 'https://api.semanticscholar.org/CorpusId:271218120'} | 3 | false |
Microsoft | llava-1.5 | 7B | null | null | Industry | open | North America | United States | third-party-papers_22 | false | 1 | 2,024 | {'title': 'Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals', 'url': 'https://api.semanticscholar.org/CorpusId:270123617'} | 3 | false |
Microsoft | llava-1.5 | 13B | null | null | Industry | open | North America | United States | third-party-papers_22 | false | 1 | 2,024 | {'title': 'Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals', 'url': 'https://api.semanticscholar.org/CorpusId:270123617'} | 3 | false |
Microsoft | llava-1.5 | 7B | null | null | Industry | open | North America | United States | third-party-papers_22 | false | 2 | 2,024 | {'title': 'Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals', 'url': 'https://api.semanticscholar.org/CorpusId:270123617'} | 3 | false |
Microsoft | llava-1.5 | 13B | null | null | Industry | open | North America | United States | third-party-papers_22 | false | 2 | 2,024 | {'title': 'Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals', 'url': 'https://api.semanticscholar.org/CorpusId:270123617'} | 3 | false |
CompVis | stable-diffusion-1.0 | null | null | v2.1 | Academia | open | Europe | Germany | third-party-papers_23 | false | 1 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_23 | false | 2 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
CompVis | stable-diffusion-1.0 | null | null | v2.1 | Academia | open | Europe | Germany | third-party-papers_23 | false | 2 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_23 | false | 1 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_23 | false | 1 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
OpenAI | dall-e | null | null | null | Industry | closed | North America | United States | third-party-papers_23 | false | 2 | 2,024 | {'title': 'You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes', 'url': 'https://api.semanticscholar.org/CorpusId:270521559'} | 3 | false |
Baichuan | baichuan | 13B | null | null | Industry | open | East Asia | China | third-party-papers_24 | false | 3 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Z.ai | chatglm2 | 6B | null | null | Industry | open | East Asia | China | third-party-papers_24 | true | 3 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
OpenAI | gpt-2 | 137M | null | null | Industry | open | North America | United States | third-party-papers_24 | false | 3 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_24 | false | 3 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Meta | opt | 30B | iml | null | Industry | open | North America | United States | third-party-papers_24 | false | 3 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Z.ai | chatglm2 | 6B | null | null | Industry | open | East Asia | China | third-party-papers_24 | true | 1 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Baichuan | baichuan | 13B | null | null | Industry | open | East Asia | China | third-party-papers_24 | false | 1 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Meta | opt | 30B | iml | null | Industry | open | North America | United States | third-party-papers_24 | false | 1 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
OpenAI | gpt-2 | 137M | null | null | Industry | open | North America | United States | third-party-papers_24 | false | 1 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
Meta | llama-2 | 7B | null | null | Industry | open | North America | United States | third-party-papers_24 | false | 1 | 2,024 | {'title': 'Bias and Volatility: A Statistical Framework for Evaluating Large Language Model\\’s Stereotypes and the Associated Generation Inconsistency', 'url': 'https://api.semanticscholar.org/CorpusId:276288264', 'release_date': '2024-02-23'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_25 | false | 2 | 2,024 | {'title': 'Arabic Dataset for LLM Safeguard Evaluation', 'url': 'https://api.semanticscholar.org/CorpusId:273507427'} | 3 | false |
Alibaba | qwen-2 | 7B | instruct | null | Industry | open | East Asia | China | third-party-papers_25 | false | 2 | 2,024 | {'title': 'Arabic Dataset for LLM Safeguard Evaluation', 'url': 'https://api.semanticscholar.org/CorpusId:273507427'} | 3 | false |
Meta | llama-3 | 8B | instruct | null | Industry | open | North America | United States | third-party-papers_25 | false | 2 | 2,024 | {'title': 'Arabic Dataset for LLM Safeguard Evaluation', 'url': 'https://api.semanticscholar.org/CorpusId:273507427'} | 3 | false |
Anthropic | claude-2.1 | null | null | null | Industry | closed | North America | United States | third-party-papers_26 | false | 2 | 2,024 | {'title': 'Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations', 'url': 'https://api.semanticscholar.org/CorpusId:269922157'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_26 | false | 2 | 2,024 | {'title': 'Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations', 'url': 'https://api.semanticscholar.org/CorpusId:269922157'} | 3 | false |
Anthropic | claude-3 | null | null | null | Industry | closed | North America | United States | third-party-papers_27 | false | 2 | 2,024 | {'title': 'Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey', 'url': 'https://api.semanticscholar.org/CorpusId:267658120'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_27 | false | 2 | 2,024 | {'title': 'Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey', 'url': 'https://api.semanticscholar.org/CorpusId:267658120'} | 3 | false |
Meta | llama-2 | 7B | chat | null | Industry | open | North America | United States | third-party-papers_27 | false | 2 | 2,024 | {'title': 'Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey', 'url': 'https://api.semanticscholar.org/CorpusId:267658120'} | 3 | false |
OpenAI | gpt-4 | null | null | null | Industry | closed | North America | United States | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
Mistral | mistral-large | null | null | null | Industry | open | Europe | France | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
Alibaba | qwen-1.5 | 110B | null | null | Industry | open | East Asia | China | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
Mistral | mistral | 7B | null | null | Industry | open | Europe | France | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
Meta | llama-3.1 | 7B | null | null | Industry | open | North America | United States | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
Meta | llama-3.1 | 70B | null | null | Industry | open | North America | United States | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
G42 | jais | 13B | null | null | Government | open | Middle East and North Africa | United Arab Emirates | third-party-papers_28 | false | 2 | 2,024 | {'title': 'Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ?', 'url': 'https://api.semanticscholar.org/CorpusId:273404303'} | 3 | false |
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