ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.00080
  4. Cited By
Dynamic Data Selection for Curriculum Learning via Ability Estimation

Dynamic Data Selection for Curriculum Learning via Ability Estimation

Findings (Findings), 2020
30 October 2020
John P. Lalor
Hong-ye Yu
ArXiv (abs)PDFHTML

Papers citing "Dynamic Data Selection for Curriculum Learning via Ability Estimation"

18 / 18 papers shown
Fluid Language Model Benchmarking
Fluid Language Model Benchmarking
Valentin Hofmann
David Heineman
Ian H. Magnusson
Kyle Lo
Jesse Dodge
Maarten Sap
Pang Wei Koh
Chun Wang
Hannaneh Hajishirzi
Noah A. Smith
173
13
0
14 Sep 2025
On Evaluation of Vision Datasets and Models using Human Competency
  Frameworks
On Evaluation of Vision Datasets and Models using Human Competency Frameworks
Rahul Ramachandran
Tejal Kulkarni
Charchit Sharma
Deepak Vijaykeerthy
Vineeth N Balasubramanian
207
1
0
06 Sep 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning
A Psychology-based Unified Dynamic Framework for Curriculum LearningComputational Linguistics (CL), 2024
Guangyu Meng
Qingkai Zeng
John P. Lalor
Hong-ye Yu
304
1
0
09 Aug 2024
Improving Zero-Shot Cross-Lingual Transfer via Progressive
  Code-Switching
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-SwitchingInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhuoran Li
Chunming Hu
Jiasi Chen
Zhijun Chen
Xiaohui Guo
Richong Zhang
268
8
0
19 Jun 2024
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
Qixiang Fang
Daniel L. Oberski
Dong Nguyen
525
3
0
02 Apr 2024
Complexity-Guided Curriculum Learning for Text Graphs
Complexity-Guided Curriculum Learning for Text GraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nidhi Vakil
Hadi Amiri
229
5
0
22 Nov 2023
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named
  Entity Recognition
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition
Xiaojing Duan
John P. Lalor
162
1
0
20 Nov 2023
CLIMB: Curriculum Learning for Infant-inspired Model Building
CLIMB: Curriculum Learning for Infant-inspired Model Building
Richard Diehl Martinez
Zébulon Goriely
Hope McGovern
Christopher Davis
Andrew Caines
P. Buttery
Lisa Beinborn
302
27
0
15 Nov 2023
Ling-CL: Understanding NLP Models through Linguistic Curricula
Ling-CL: Understanding NLP Models through Linguistic CurriculaConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mohamed Elgaar
Hadi Amiri
282
5
0
31 Oct 2023
Curriculum Learning for Graph Neural Networks: A Multiview
  Competence-based Approach
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based ApproachAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Nidhi Vakil
Hadi Amiri
244
5
0
17 Jul 2023
HuCurl: Human-induced Curriculum Discovery
HuCurl: Human-induced Curriculum DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Mohamed Elgaar
Hadi Amiri
211
2
0
14 Jul 2023
Computational modeling of semantic change
Computational modeling of semantic changeConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Nina Tahmasebi
Haim Dubossarsky
368
8
0
13 Apr 2023
Training Dynamics for Curriculum Learning: A Study on Monolingual and
  Cross-lingual NLU
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLUConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fenia Christopoulou
Gerasimos Lampouras
Ignacio Iacobacci
337
5
0
22 Oct 2022
Predicting Human Psychometric Properties Using Computational Language
  Models
Predicting Human Psychometric Properties Using Computational Language Models
Antonio Laverghetta
Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
182
9
0
12 May 2022
py-irt: A Scalable Item Response Theory Library for Python
py-irt: A Scalable Item Response Theory Library for PythonINFORMS journal on computing (IJOC), 2022
John P. Lalor
Pedro Rodriguez
394
20
0
02 Mar 2022
Can Transformer Language Models Predict Psychometric Properties?
Can Transformer Language Models Predict Psychometric Properties?
Antonio Laverghetta
Animesh Nighojkar
Jamshidbek Mirzakhalov
John Licato
LM&MA
256
15
0
12 Jun 2021
Comparing Test Sets with Item Response Theory
Comparing Test Sets with Item Response TheoryAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Clara Vania
Phu Mon Htut
William Huang
Dhara Mungra
Richard Yuanzhe Pang
Jason Phang
Haokun Liu
Kyunghyun Cho
Sam Bowman
265
55
0
01 Jun 2021
KLUE: Korean Language Understanding Evaluation
KLUE: Korean Language Understanding Evaluation
Sungjoon Park
Jihyung Moon
Sungdong Kim
Won Ik Cho
Jiyoon Han
...
Seonghyun Kim
Lucy Park
Alice Oh
Jung-Woo Ha
Kyunghyun Cho
ELMVLM
650
228
0
20 May 2021
1
Page 1 of 1