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Large language models (LLMs) have the potential to transform our lives and work through the content they generate, known as AI-Generated Content (AIGC).
The study of news
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Bias in computer systems
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The earth mover’s distance as a metric for image retrieval
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The earth mover’s distance is the mallows distance: Some insights from statistics
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Software Framework for Topic Modelling with Large Corpora
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LDAvis: A method for visualizing and interpreting topics
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Pulling Out the Stops: Rethinking Stopword Removal for Topic Models
Schofield, A., Magnusson, M. & Mimno, D · 2017
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Gender bias goes away when grant reviewers focus on the science
Guglielmi, G · 2018
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Improving language understanding by generative pre-training
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Dissecting racial bias in an algorithm used to manage the health of populations
Obermeyer, Z., Powers, B., Vogeli, C. & Mullainathan, S · 2019
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How stereotypes are shared through language: a review and introduction of the aocial categories and stereotypes communication (scsc) framework
Beukeboom, C. J. & Burgers, C · 2019
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The woman worked as a babysitter: On biases in language generation
Sheng, E., Chang, K.-W., Natarajan, P. & Peng, N · 2019
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Gonen, H. & Goldberg, Y · 2019
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Reducing sentiment bias in language models via counterfactual evaluation
Huang, P.-S. et al · 2019
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Automated identification of media bias in news articles: an interdisciplinary literature review
Hamborg, F., Donnay, K. & Gipp, B · 2019
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A Large-Scale Test of Gender Bias in the Media
Shor, E., van de Rijt, A. & Fotouhi, B · 2019
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Defending against neural fake news
Zellers, R. et al · 2019
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Mitigating gender bias in natural language processing: Literature review
Sun, T. et al · 2019
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The effect of publishing peer review reports on referee behavior in five scholarly journals
Bravo, G., Grimaldo, F., López-Iñesta, E., Mehmani, B. & Squazzoni, F · 2019
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Automated journalism as a source of and a diagnostic device for bias in reporting
Leppänen, L., Tuulonen, H. & Sirén-Heikel, S · 2020
Bias out-of-the-box: An empirical analysis of intersectional occupational biases in popular generative language models
Kirk, H. R. et al · 2021
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The psychology of fake news
Pennycook, G. & Rand, D. G · 2021
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How ai is learning to identify toxic online content
Hanu, L., Thewlis, J. & Haco, S · 2021
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Training language models to follow instructions with human feedback
Ouyang, L. et al · 2022
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Holistic evaluation of language models
Liang, P. et al · 2022
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How Generative AI Is Changing Creative Work
Davenport, T. H. & Mittal, N · 2022
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Gender bias in ai: A review of contributing factors and mitigating strategies
Nadeem, A., Abedin, B. & Marjanovic, O · 2020
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Mitigating gender bias in machine learning data sets
Leavy, S., Meaney, G., Wade, K. & Greene, D · 2020
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The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting
Centola, D., Guilbeault, D., Sarkar, U., Khoong, E. & Zhang, J · 2021
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Algorithmic bias in education
Baker, R. S. & Hawn, A · 2021
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Bender, E. M., Gebru, T., McMillan-Major, A. & Shmitchell, S · 2021
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Stereoset: Measuring stereotypical bias in pretrained language models
Nadeem, M., Bethke, A. & Reddy, S · 2021
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The Evolution of Topic Modeling
Churchill, R. & Singh, L · 2022
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Llama: Open and efficient foundation language models
Touvron, H. et al · 2023
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Generative ai: Perspectives from stanford hai
Li, F.-F. et al · 2023
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Gender composition predicts gender bias: A meta-reanalysis of hiring discrimination audit experiments
Galos, D. R. & Coppock, A · 2023
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Muñoz-Ortiz, A., Gómez-Rodríguez, C. & Vilares, D · 2023
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Sentiments analysis of fmri using automatically generated stimuli labels under naturalistic paradigm
Mahrukh, R., Shakil, S. & Malik, A. S · 2023
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An efficient technique of predicting toxicity on music lyrics machine learning
Noor, N. B. & Ahmed, I · 2023
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