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What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring
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2023-06-27
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Conrad Borchers
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Zeynep TĂŒfekçi
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Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education
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2024-07-09
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Fast Implementation of DeLongâs Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves
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2012-03-13
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Olga Demler
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JIME - The Open Learning Initiative: Measuring the Effectiveness of the OLI Statistics Course in Accelerating Student Learning
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IRT Model Selection Methods for Dichotomous Items
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SMOTE: Synthetic Minority Over-sampling Technique
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Evaluation of Student Performance through a Multidimensional Finite Mixture IRT Model
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2017-09-27
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Transforming the Area under the Normal Curve (AUC) into Cohenâs d, Pearsonâs r pb , Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables
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2018-01-01
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1
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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2018-01-01
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Goal-based Course Recommendation
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2019-02-25
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Weijie Jiang
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Attenuating Bias in Word Vectors
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2019-01-01
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Sunipa Dev
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1
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Mitigating Gender Bias in Natural Language Processing: Literature Review
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2019-01-01
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Tony Sun
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1
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The What-If Tool: Interactive Probing of Machine Learning Models
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2019-01-01
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James Wexler
Mahima Pushkarna
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1
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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
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2018-01-01
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Vidur Joshi
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Mitigating Unwanted Biases with Adversarial Learning
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2018-12-27
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Blake Lemoine
Margaret Mitchell
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1
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Mathematics as a factor in community college STEM performance, persistence, and degree attainment
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2019-08-21
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Richard Cohen
Angela M. Kelly
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1
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Release Strategies and the Social Impacts of Language Models
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2019-01-01
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Irene Solaiman
Miles Brundage
Jack Clark
Amanda Askell
Ariel Herbert-Voss
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Alec Radford
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1
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EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
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2019-01-01
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Jason Wei
Kai Zou
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1
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The Woman Worked as a Babysitter: On Biases in Language Generation
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2019-01-01
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Emily Sheng
Kai-Wei Chang
Prem Natarajan
Nanyun Peng
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1
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Measuring Bias in Contextualized Word Representations
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2019-01-01
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Keita Kurita
Nidhi Vyas
Ayush Pareek
Alan W. Black
Yulia Tsvetkov
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1
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Early Academic Momentum: Factors Contributing to Community College Transfer Studentsâ STEM Degree Attainment
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2019-10-10
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Yi Zhang
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1
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Academic Performance Estimation with Attention-based Graph Convolutional Networks
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2020-01-01
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Qian Hu
Huzefa Rangwala
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1
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Deflating Dataset Bias Using Synthetic Data Augmentation
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2020-06-01
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Nikita Jaipuria
Xianling Zhang
Rohan Bhasin
Mayar Arafa
Punarjay Chakravarty
Shubham Shrivastava
Sagar Manglani
Vidya N. Murali
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1
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Language (Technology) is Power: A Critical Survey of âBiasâ in NLP
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2020-01-01
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Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna Wallach
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1
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Algorithmic fairness in education
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2022-08-11
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René F. Kizilcec
Hansol Lee
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1
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Questioning the AI: Informing Design Practices for Explainable AI User Experiences
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2020-04-21
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Q. Vera Liao
Daniel M. Gruen
Sarah Miller
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1
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Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
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2020-11-20
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Wilson Chango
Rebeca Cerezo
CristĂłbal Romero
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1
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Gender Bias in Neural Natural Language Processing
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2020-01-01
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Kaiji Lu
Piotr Mardziel
FangâJing Wu
Preetam Amancharla
Anupam Datta
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1
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The power of feedback and reflection: Testing an online scenario-based learning intervention for student teachers
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2021-04-02
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Lisa Bardach
Robert M. Klassen
Tracy L. Durksen
Jade V. Rushby
Keiko C. P. Bostwick
Lynn Sheridan
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1
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Mitigating Political Bias in Language Models through Reinforced Calibration
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2021-05-18
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Ruibo Liu
Chenyan Jia
Jason Wei
Guangxuan Xu
Lili Wang
Soroush Vosoughi
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1
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Towards Equity and Algorithmic Fairness in Student Grade Prediction
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2021-07-21
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Weijie Jiang
Zachary A. Pardos
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1
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Should College Dropout Prediction Models Include Protected Attributes?
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2021-06-06
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Renzhe Yu
Hansol Lee
René F. Kizilcec
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1
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Evaluating Large Language Models Trained on Code
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2021-01-01
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Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé de Oliveira Pinto
Jared Kaplan
Harrison Edwards
Yuri Burda
Nicholas Joseph
Greg Brockman
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1
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A Survey on Data Augmentation for Text Classification
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2022-06-17
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Markus Bayer
MarcâAndrĂ© Kaufhold
Christian Reuter
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1
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SMOTified-GAN for Class Imbalanced Pattern Classification Problems
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2022-01-01
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Anurag Sharma
Prabhat Kumar Singh
Rohitash Chandra
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1
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On the Opportunities and Risks of Foundation Models
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2021-01-01
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Rishi Bommasani
Drew A. Hudson
Ehsan Adeli
Russ B. Altman
Simran Arora
Sydney von Arx
Michael S. Bernstein
Jeannette Bohg
Antoine Bosselut
Emma Brunskill
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1
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Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
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2021-01-01
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Eric M. Smith
Adina Williams
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1
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How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
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2021-01-01
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Indira Sen
Mattia Samory
Fabian Flöck
Claudia Wagner
Isabelle Augenstein
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1
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A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
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2022-01-01
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Hugo Berg
Siobhan Mackenzie Hall
Yash Bhalgat
Wonsuk Yang
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
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1
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Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
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2022-01-01
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Shaden Smith
Mostofa Patwary
Brandon Norick
Patrick LeGresley
Samyam Rajbhandari
Jared Casper
Zhun Liu
Shrimai Prabhumoye
George Zerveas
Vijay Anand Korthikanti
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1
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How do Teachers Use Open Learning Spaces? Mapping from Teachersâ Socio-spatial Data to Spatial Pedagogy
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2022-03-10
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Lixiang Yan
Roberto MartĂnezâMaldonado
Linxuan Zhao
Joanne Deppeler
Deborah Corrigan
Dragan GÇseviÄ
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1
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