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Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving

Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving

1 April 2025
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
    LRM
ArXiv (abs)PDFHTML

Papers citing "Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving"

25 / 25 papers shown
Title
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Haoxiang Ye
Tao Sun
Qing Ling
FedML
54
0
0
11 Jun 2025
Differentially Private Online Federated Learning with Correlated Noise
Differentially Private Online Federated Learning with Correlated Noise
Jiaojiao Zhang
Linglingzhi Zhu
Mikael Johansson
FedML
109
1
0
10 Jan 2025
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming
  Data
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data
Xiaolu Wang
Cheng Jin
Hoi-To Wai
Yuantao Gu
61
4
0
10 Sep 2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in
  Decentralized Learning
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
Haoxiang Ye
He Zhu
Qing Ling
FedML
90
13
0
28 Aug 2023
(Amplified) Banded Matrix Factorization: A unified approach to private
  training
(Amplified) Banded Matrix Factorization: A unified approach to private training
Christopher A. Choquette-Choo
Arun Ganesh
Ryan McKenna
H. B. McMahan
Keith Rush
Abhradeep Thakurta
Zheng Xu
FedML
111
41
0
13 Jun 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications
  to Differential Privacy
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Anastasia Koloskova
Ryan McKenna
Zachary B. Charles
Keith Rush
Brendan McMahan
124
9
0
02 Feb 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning
  under Cumulative Regret
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret
Sudeep Salgia
Qing Zhao
T. Gabay
Kobi Cohen
FedML
88
11
0
21 Jan 2023
Almost Tight Error Bounds on Differentially Private Continual Counting
Almost Tight Error Bounds on Differentially Private Continual Counting
Monika Henzinger
Jalaj Upadhyay
Sarvagya Upadhyay
FedML
80
41
0
09 Nov 2022
Distributed Online Non-convex Optimization with Composite Regret
Distributed Online Non-convex Optimization with Composite Regret
Zhanhong Jiang
Aditya Balu
Xian Yeow Lee
Young M. Lee
Chinmay Hegde
Soumik Sarkar
99
4
0
21 Sep 2022
Distributed Online Private Learning of Convex Nondecomposable Objectives
Distributed Online Private Learning of Convex Nondecomposable Objectives
Huqiang Cheng
Xiao-Fei Liao
Huaqing Li
69
5
0
16 Jun 2022
Differential Private Discrete Noise Adding Mechanism: Conditions,
  Properties and Optimization
Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization
Shuying Qin
Jianping He
Chongrong Fang
J. Lam
41
6
0
19 Mar 2022
Improved Differential Privacy for SGD via Optimal Private Linear
  Operators on Adaptive Streams
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
S. Denisov
H. B. McMahan
J. Rush
Adam D. Smith
Abhradeep Thakurta
FedML
101
66
0
16 Feb 2022
Improving Dynamic Regret in Distributed Online Mirror Descent Using
  Primal and Dual Information
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information
Nima Eshraghi
Ben Liang
90
9
0
07 Dec 2021
The Price of Differential Privacy under Continual Observation
The Price of Differential Privacy under Continual Observation
Palak Jain
Sofya Raskhodnikova
Satchit Sivakumar
Adam D. Smith
98
52
0
01 Dec 2021
Wireless Federated Learning with Local Differential Privacy
Wireless Federated Learning with Local Differential Privacy
Mohamed Seif
Ravi Tandon
Ming Li
121
171
0
12 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
289
6,335
0
10 Dec 2019
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
A. Suggala
Praneeth Netrapalli
143
56
0
19 Mar 2019
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
264
5,283
0
14 Dec 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
334
1,222
0
16 Aug 2016
Improved Dynamic Regret for Non-degenerate Functions
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang
Tianbao Yang
Jinfeng Yi
Jing Rong
Zhi Zhou
259
128
0
13 Aug 2016
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
97
840
0
06 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
463
17,727
0
17 Feb 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
190
296
0
09 Feb 2016
A Unified Approach to Error Bounds for Structured Convex Optimization
  Problems
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou
Anthony Man-Cho So
82
184
0
11 Dec 2015
Differentially Private Distributed Online Learning
Differentially Private Distributed Online Learning
Chencheng Li
Pan Zhou
FedML
85
76
0
25 May 2015
1