Academic literature on the topic 'Representational bias'

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Journal articles on the topic "Representational bias"

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Stone, Christopher, and Larry Bull. "For Real! XCS with Continuous-Valued Inputs." Evolutionary Computation 11, no. 3 (2003): 299–336. http://dx.doi.org/10.1162/106365603322365315.

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Many real-world problems are not conveniently expressed using the ternary representation typically used by Learning Classifier Systems and for such problems an interval-based representation is preferable. We analyse two interval-based representations recently proposed for XCS, together with their associated operators and find evidence of considerable representational and operator bias. We propose a new interval-based representation that is more straightforward than the previous ones and analyse its bias. The representations presented and their analysis are also applicable to other Learning Cla
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Jeerakathil, T. J., and A. Kirk. "A representational vertical bias." Neurology 44, no. 4 (1994): 703. http://dx.doi.org/10.1212/wnl.44.4.703.

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Tumarkin, Maria. "Crumbs of memory: Tracing the ‘more-than-representational’ in family memory." Memory Studies 6, no. 3 (2013): 310–20. http://dx.doi.org/10.1177/1750698013482648.

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This article concerns itself with exploring some of the ways in which we can move beyond the ‘cognitive bias’ within social memory studies. A key obstacle to engaging with the kinds of manifestations of remembering that cannot be reduced to intentional and conscious articulations or representations of the mediated past is a deeply entrenched opposition between representational and non-representational (or declarative and non-declarative) mnemonic practices. It strikes me that this opposition is, at least partially, a product of early thinking on memory and trauma, in which affect and represent
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Suthers, Daniel. "Towards a Systematic Study of Representational Guidance for Collaborative Learing Discourse." JUCS - Journal of Universal Computer Science 7, no. (3) (2001): 254–77. https://doi.org/10.3217/jucs-007-03-0254.

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The importance of collaborative and social learning processes is well established, as is the utility of external representations in supporting learners' active expression, examination and manipulation of their own emerging knowledge. However, research on how computer-based representational tools may support collaborative learning is in its infancy. This paper motivates such a line of research, sketches a theoretical analysis of the roles of constraint and salience in the representational guidance of collaborative learning discourse, and reports on an initial study that compared textual, graphi
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Ricci, Raffaella, Jesse Calhoun, and Anjan Chatterjee. "Orientation Bias in Unilateral Neglect: Representational Contributions." Cortex 36, no. 5 (2000): 671–77. http://dx.doi.org/10.1016/s0010-9452(08)70544-6.

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Cai, Ming Bo, Nicolas W. Schuck, Jonathan W. Pillow, and Yael Niv. "Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias." PLOS Computational Biology 15, no. 5 (2019): e1006299. http://dx.doi.org/10.1371/journal.pcbi.1006299.

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Holé, Julie, Karen T. Reilly, Stuart Nash, and Gilles Rode. "Caloric Vestibular Stimulation Reduces the Directional Bias in Representational Neglect." Brain Sciences 10, no. 6 (2020): 323. http://dx.doi.org/10.3390/brainsci10060323.

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Caloric vestibular stimulation (CVS) can temporarily reduce visuospatial neglect and related symptoms. The present study examined the effect of CVS on representational neglect during free exploration of the map of France. We asked patients to name cities they could mentally “see” on the map of France, without giving them any directional instructions related to the left or right sides of the map. In right brain damaged patients with left visuospatial neglect, the mental representation of the map was asymmetrical (favoring the right side). After stimulation, neglect patients named more towns on
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Toribio, Josefa. "Implicit Bias: from social structure to representational format." THEORIA. An International Journal for Theory, History and Foundations of Science 33, no. 1 (2018): 41. http://dx.doi.org/10.1387/theoria.17751.

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In this paper, I argue against the view that the representational structure of the implicit attitudes responsible for implicitly biased behaviour is propositional—as opposed to associationist. The proposal under criticism moves from the claim that implicit biased behaviour can occasionally be modulated by logical and evidential considerations to the view that the structure of the implicit attitudes responsible for such biased behaviour is propositional. I argue, in particular, against the truth of this conditional. Sensitivity to logical and evidential considerations, I contend, proves to be a
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Mueller, Carol. "Media Measurement Models of Protest Event Data." Mobilization: An International Quarterly 2, no. 2 (1997): 165–84. http://dx.doi.org/10.17813/maiq.2.2.n043476m01q7463u.

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Growing interest in quantitative studies of social movements and protest cycles attests to the vigor of protest event analysis as a strategy for investigating the protopolitical processes of collective claimsmaking in democratic states and emerging democracies. Increasing investments in protest events research has also led to growing concern about sources of measurement error that stem from reliance on media data sources. Using Blalock's conception of auxiliary measurement models, this article traces two alternative treatments of measurement bias in the literature on events analysis. The two a
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McBeath, Michael K., and Kazunori Morikawa. "Forward-Facing Motion Biases for Rigid and Nonrigid Biologically Likely Transformations." Perceptual and Motor Skills 85, no. 3_suppl (1997): 1187–93. http://dx.doi.org/10.2466/pms.1997.85.3f.1187.

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When observers are presented directionally ambiguous motion, they exhibit a bias for experiencing movement in the direction in which shapes appear to face. We examined the influence of rigidity of a shape on the forward-facing bias with stimuli whose directionality is biologically specified. In general, the lack of shape correspondence during a nonrigid transformation should weaken the motion percept and decrease forward-facing bias. In contrast, representational momentum cues associated with a biologically likely nonrigid transformation should enhance the motion percept and increase forward-f
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Dissertations / Theses on the topic "Representational bias"

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Thrash, Tyler. "Categorical bias in transient and enduring spatial representation." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1302800868.

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Deardon, Robert. "Representation bias in field trials for airborne plant pathogens." Thesis, University of Reading, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390592.

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Laforgue, Pierre. "Deep kernel representation learning for complex data and reliability issues." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT006.

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Cette thèse débute par l'étude d'architectures profondes à noyaux pour les données complexes. L'une des clefs du succès des algorithmes d'apprentissage profond est la capacité des réseaux de neurones à extraire des représentations pertinentes. Cependant, les raisons théoriques de ce succès nous sont encore largement inconnues, et ces approches sont presque exclusivement réservées aux données vectorielles. D'autre part, les méthodes à noyaux engendrent des espaces fonctionnels étudiés de longue date, les Espaces de Hilbert à Noyau Reproduisant (Reproducing Kernel Hilbert Spaces, RKHSs), dont la
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Tietz, Wendy M. "The Representation of Gender in Introductory Accounting Textbooks." Kent State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=kent1173483294.

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Brusokaitė, Evelina. "Gender representation in EFL textbooks." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130731_151659-54206.

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The aim of the research was to determine gender representation in the Lithuanian, British and Argentinian EFL textbooks. To achieve the aim, EFL textbooks circulated in Lithuania (Super English 4), the UK (Speakout) and Argentina (My Life 2) were analyzed with regard to social and linguistic aspects of gender representation. The methods chosen for the study were content analysis and the calculation of the relative frequency of occurrence. The results revealed that the Lithuanian EFL textbook depicts females in a stereotyped way with regard to household duties and frequently uses compound nouns
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Sandberg, Sofia. "Representation and cultural bias : A study focused on three Swedish ESL-textbooks." Thesis, Högskolan i Halmstad, Akademin för lärande, humaniora och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44045.

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In the following essay, a study on three textbooks used for educating pupils in Swedish secondary schools in the subject of English is presented. One aim of the study was to investigate how the selection of texts, both fiction and non-fiction, used for reading and listening comprehension purposes and their respective author representations in three Swedish EFL-textbooks could be considered to represent a broad perspective of the English-speaking world. The categories used to find evidence are based on Kachru’s model of Three Circles of English. Furthermore, an additional aim was to uncover evi
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BRUSA, ALESSANDRA. "N400 and ethnic implicit bias. An electrophysiological investigation on stereotype-based mental representations." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/379217.

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Questo progetto considera il ruolo dei pregiudizi impliciti basati sull'etnia nei processi di comprensione del linguaggio attraverso tre studi. Sono stati condotti due studi utilizzando la tecnica EEG/ERP per rilevare l'attivazione implicita di rappresentazioni stereotipate associate a persone di etnie non caucasiche e la modulazione di tale attivazione attraverso la presentazione di documentari. È stata inoltre condotta una terza indagine online sul ruolo delle variazioni dell’accento parlato nell'evocare aspettative basate su stereotipi e nell'influenzare il modo in cui l'ascoltatore interpr
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Turner, Elaine. "Applying the anthropological model, 'cultural bias' to the drama, using tragedy as an example." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/110780/.

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Dr Mary Douglas' anthropological modal of Cultural Bias offers an opportunity to examine social artefacts in terms of both their active social function and their own internal structure, promising to offer a fresh perspective on old dilemmas. This study applies the Cultural Bias model to several classical Tragedies in an attempt to assess the viability of the model as a basis for a structural Poetics and an interpretive model. Elaborative analysis is concentrated on the two major Tragedies of Christopher Marlowe. The model encouragingly casts new light on areas in the plays conventionally consi
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Jideonwo, Thelma Ukachi. "Exploring Under-Representation of Women in Top Executive Positions in The United States' Banking Industry: A Phenomenological Study." Franklin University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=frank1613567219813127.

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Scholtens, Sara. "ADHD Symptoms : Objective Performance and Subject Perspective." Doctoral thesis, Uppsala universitet, Institutionen för psykologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260987.

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ADHD research has mainly focused on objective performance measures. Performance, however, is only one aspect of functioning. Other aspects of how individuals function are their personal experiences and their evaluations of those experiences. The aim of this thesis is to expand knowledge on the topic of ADHD by presenting studies that investigate objective performance and subject perspective, simultaneously. The empirical work presented here has a dimensional approach to ADHD, which is reflected in the use of samples selected to represent a wide variation in ADHD symptoms. Herein, both objectiv
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Books on the topic "Representational bias"

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Hess, Douglas R. Representational bias in the 2008 electorate. Project Vote, 2009.

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Benjamin, D. Paul, ed. Change of Representation and Inductive Bias. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1523-0.

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1953-, Benjamin D. Paul, ed. Change of representation and inductive bias. Kluwer Academic, 1990.

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Benjamin, D. Paul. Change of Representation and Inductive Bias. Springer US, 1990.

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Heilongjiang sheng ren min dai biao da hui shi liao xuan bian bian wei hui. Heilongjiang sheng ren min dai biao da hui shi liao xuan bian. Heilongjiang sheng ren min dai biao da hui shi liao xuan bian bian wei hui, 1987.

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Wang, Xutian, and Guangsheng Zhang. Dai biao zhi yu guo jia zhi li. She hui ke xue wen xian chu ban she, 2018.

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China. Ren min dai biao da hui, ed. Ren min dai biao da hui zhi du chuang jian shi: Renmin daibiao dahui zhidu chuangjianshi. Zhong gong dang shi chu ban she, 2009.

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Ma, Yue. Xuan ju zhi du de zheng zhi xiao guo: Gang shi bi li dai biao zhi de jing yan. Xianggang cheng shi da xue chu ban she, 2003.

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Shen, Mengpei. 我做人民代表. Dian zi gong ye chu ban she, 2007.

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Li, Guoqiang. Gang qu quan guo ren da dai biao feng cai lu. Xianggang ge jie wen hua cu jin hui you xian gong si, 2003.

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Book chapters on the topic "Representational bias"

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Arriagada-Bruneau, Gabriela, Claudia López, and Marcelo Mendoza. "NLP and Representational Bias." In Ethics in Artificial Intelligence and Information Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003454625-12.

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van der Aalst, Wil, Joos Buijs, and Boudewijn van Dongen. "Towards Improving the Representational Bias of Process Mining." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34044-4_3.

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Parsons, Paul. "Promoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization." In Cognitive Biases in Visualizations. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95831-6_10.

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Wiegand, R. Paul, William C. Liles, and Kenneth A. De Jong. "The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution." In Parallel Problem Solving from Nature — PPSN VII. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45712-7_25.

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Lucia, Andrew. "37. Notes on A Catalog of Difference." In Meta-Xenakis. Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0390.39.

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This chapter focuses on the author’s decade-long research project, A Catalog of Difference (2017). Approached from a background in architecture and art, this inquiry into spatial-material perception and its representation synthesizes information theoretic methodologies and concepts derived from Iannis Xenakis, Gregory Bateson, and the perceptual psychologist James J. Gibson, giving priority to an informational approach over that of the geometric. Architecture, through its representational tools and design workflows, has historically favored the latter of these distinctions, giving primacy to l
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Cobb, Helen G., and Peter Bock. "Using a genetic algorithm to search for the representational bias of a collective reinforcement learner." In Parallel Problem Solving from Nature — PPSN III. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58484-6_300.

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Berry, Jeffrey M., and Clyde Wilcox. "Bias and Representation." In The Interest Group Society. Routledge, 2018. http://dx.doi.org/10.4324/9781315534091-10.

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Stanton, Simon C., Julian Dermoudy, and Robert Ollington. "Representation-Induced Algorithmic Bias." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3_9.

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Li, Yingwei, Yi Li, and Nuno Vasconcelos. "RESOUND: Towards Action Recognition Without Representation Bias." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01231-1_32.

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Bouvier, Victor, Philippe Very, Clément Chastagnol, Myriam Tami, and Céline Hudelot. "Robust Domain Adaptation: Representations, Weights and Inductive Bias." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67658-2_21.

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Conference papers on the topic "Representational bias"

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Mehta, Atharva, Shivam Chauhan, Amirbek Djanibekov, Atharva Kulkarni, Gus Xia, and Monojit Choudhury. "Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.258.

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Igbaria, Reda, and Yonatan Belinkov. "Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias." In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.repl4nlp-1.4.

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Amin, Md Nur, Alexander Jesser, and Phil Nemeth. "Evolving Knowledge Graphs for Bias Aware Synthetic Persona Representation." In 2025 17th International Conference on Computer and Automation Engineering (ICCAE). IEEE, 2025. https://doi.org/10.1109/iccae64891.2025.10980546.

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Yang, Jinrui, Fan Jiang, and Timothy Baldwin. "Language Bias in Multilingual Information Retrieval: The Nature of the Beast and Mitigation Methods." In Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.mrl-1.23.

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Mahesh, Tarun. "Investigating Social Bias in GPT-4: A Study on Race Representation." In 2024 2nd International Conference on Foundation and Large Language Models (FLLM). IEEE, 2024. https://doi.org/10.1109/fllm63129.2024.10852468.

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Abbar, Mohamed Yasser, and Mohamed Abdeldayem A. Soltan. "Ethical Visual Design in Engineering Decision-Making: Addressing Bias and Representation." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836409.

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Hu, Wenyue, Zhenyu Yang, Yan Huang, Zhibo Zhang, and Baojie Xu. "Disentangling Interest and Conformity Representation to Mitigate Popularity Bias for Sequential Recommendation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650458.

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Sabuncuoglu, Alpay, and Carsten Maple. "Identifying Representation Bias in Large Language Models Used in Financial Sentiment Analysis." In 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CiFer). IEEE, 2025. https://doi.org/10.1109/cifer64978.2025.10975731.

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Liu, Zhen, Hao Zhu, Qi Zhang, et al. "FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variableperiodic Activation Functions." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00262.

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Plaza-del-Arco, Flor Miriam, Amanda Cercas Curry, Susanna Paoli, Alba Cercas Curry, and Dirk Hovy. "Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.251.

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Reports on the topic "Representational bias"

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Xavier, Prince, Martin Willett, Tim Graham, et al. Assessment of the Met Office Global Coupled model version 4 (GC4) configurations. Met Office, 2024. http://dx.doi.org/10.62998/uzui3766.

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The Global Coupled model version 4 (GC4) is an upgraded configuration of the MetUM system, building upon its predecessor, GC3.0/3.1. It incorporates various improvements and changes in the atmospheric and land components (Global Atmosphere 8 and Global Land 9 - GA8GL9) while keeping the ocean component (Global Ocean 6 - GO6) unchanged, except for minor bug fixes. The GC4 model introduces several enhancements, such as the drag package for land surface and hydrology, improvements in radiation and large-scale precipitation parametrisations, advancements in the boundary layer and convection repres
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