FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes | Paper Citation Record

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Measuring Gender and Racial Biases in Large Language Models

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This paper cites Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models

Reference 3

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This paper cites Cultural Re-contextualization of Fairness Research in Language Technologies in India.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Cultural Re-contextualization of Fairness Research in Language Technologies in India

Reference 5

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Unresolved cited work

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This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Language (Technology) is Power: A Critical Survey of "Bias" in NLP

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This paper cites Multilingual large language models leak human stereotypes across language boundaries.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Multilingual large language models leak human stereotypes across language boundaries

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 10

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Cohen and Sumit Ganguly

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Reference 12

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This paper cites "They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes "They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations

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This paper cites Persona Setting Pitfall: Persistent Outgroup Biases in Large Language Models Arising from Social Identity Adoption.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Persona Setting Pitfall: Persistent Outgroup Biases in Large Language Models Arising from Social Identity Adoption

Reference 17

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This paper cites Safeguarding Large Language Models: A Survey.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Safeguarding Large Language Models: A Survey

Reference 18

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Unresolved cited work

Reference 19

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This paper cites Systematic Offensive Stereotyping (SOS) Bias in Language Models.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Systematic Offensive Stereotyping (SOS) Bias in Language Models

Reference 20

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Gallegos, Ryan A

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Guo and Aylin Caliskan

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Bias in Large Language Models: Origin, Evaluation, and Mitigation

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Gadiraju, Aditya Vashistha, Vivek Seshadri, and Kalika Bali

Reference 24

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes ''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Unresolved cited work

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes 'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Bean, Hannah Rose Kirk, and Scott A

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes UnQovering Stereotyping Biases via Underspecified Questions

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes A Survey on Fairness in Large Language Models

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes BBQ: A Hand-Built Bias Benchmark for Question Answering

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Fairness in Language Models Beyond English: Gaps and Challenges

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Sahoo, Pranamya Prashant Kulkarni, Arif Ahmad, Tanu Goyal, Narjis Asad, Aparna Garimella, and Pushpak Bhattacharyya

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Re-imagining Algorithmic Fairness in India and Beyond

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This paper cites PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Measuring and Reducing Gendered Correlations in Pre-trained Models

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Unresolved cited work

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Gender Bias in Large Language Models across Multiple Languages

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FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Xing, Hao Zhang, Joseph E

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