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Large Language Models (LLMs) have seen widespread deployment in various real-world applications.
Labor Market Discrimination Against Hispanic and Black Men
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Persistent Anti-Muslim Bias in Large Language Models. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (Virtual Event, USA) (AIES ’21) . Association for Computing Machinery, New York, NY, USA, 298–306
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Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. In Annual Meeting of the Association for Computational Linguistics
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Gender and Representation Bias in GPT-3 Generated Stories. In Proceedings of the Third Workshop on Narrative Understanding . Association for Computational Linguistics, Virtual, 48–55
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A Survey on Bias and Fairness in Machine Learning
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Crawling The Internal Knowledge-Base of Language Models. In Findings of the Association for Computational Linguistics: EACL 2023 . Association for Computational Linguistics, Dubrovnik, Croatia, 1856–1869
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Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
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A Holistic Approach to Undesired Content Detection in the Real World
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StereoSet: Measuring stereotypical bias in pretrained language models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 5356–5371
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The media during the rise of trump: Identity politics, immigration," Mexican" demonization and hate-crime. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 15. 467–478
Orestis Papakyriakopoulos and Ethan Zuckerman. 2021 · 2021
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BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Maarten Grootendorst. 2022 · 2022
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On Natural Language User Profiles for Transparent and Scrutable Recommendation. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)
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Quantifying Social Biases Using Templates is Unreliable
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Is Chat Gpt Biased Against Conservatives? An Empirical Study
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Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt. 2023 · 2023
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