Modeling Student Learning with 3.8 Million Program Traces
Fuente:
arXiv
Guardado en:
| Autores principales: | Ross, Alexis, Srivastava, Megha, Blanchard, Jeremiah, Andreas, Jacob |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors
por: Ross, Alexis, et al.
Publicado: (2025)
por: Ross, Alexis, et al.
Publicado: (2025)
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
por: Ross, Alexis, et al.
Publicado: (2024)
por: Ross, Alexis, et al.
Publicado: (2024)
Policy Learning with a Language Bottleneck
por: Srivastava, Megha, et al.
Publicado: (2024)
por: Srivastava, Megha, et al.
Publicado: (2024)
TabFlex: Scaling Tabular Learning to Millions with Linear Attention
por: Zeng, Yuchen, et al.
Publicado: (2025)
por: Zeng, Yuchen, et al.
Publicado: (2025)
Optimistic Verifiable Training by Controlling Hardware Nondeterminism
por: Srivastava, Megha, et al.
Publicado: (2024)
por: Srivastava, Megha, et al.
Publicado: (2024)
Agnostic Smoothed Online Learning without Knowledge of the Base Measure
por: Blanchard, Moïse
Publicado: (2024)
por: Blanchard, Moïse
Publicado: (2024)
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
por: Birrell, Jeremiah, et al.
Publicado: (2025)
por: Birrell, Jeremiah, et al.
Publicado: (2025)
Concentration Inequalities for Stochastic Optimization of Unbounded Objective Functions with Application to Denoising Score Matching
por: Birrell, Jeremiah
Publicado: (2025)
por: Birrell, Jeremiah
Publicado: (2025)
Statistical Error Bounds for GANs with Nonlinear Objective Functionals
por: Birrell, Jeremiah
Publicado: (2024)
por: Birrell, Jeremiah
Publicado: (2024)
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring
por: Schmucker, Robin, et al.
Publicado: (2025)
por: Schmucker, Robin, et al.
Publicado: (2025)
AGALE: A Graph-Aware Continual Learning Evaluation Framework
por: Zhao, Tianqi, et al.
Publicado: (2024)
por: Zhao, Tianqi, et al.
Publicado: (2024)
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
por: He, Zhengfu, et al.
Publicado: (2024)
por: He, Zhengfu, et al.
Publicado: (2024)
How does Graph Structure Modulate Membership-Inference Risk for Graph Neural Networks?
por: Khosla, Megha
Publicado: (2026)
por: Khosla, Megha
Publicado: (2026)
Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift
por: Lee, Morgan, et al.
Publicado: (2025)
por: Lee, Morgan, et al.
Publicado: (2025)
Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments
por: Beukman, Michael, et al.
Publicado: (2026)
por: Beukman, Michael, et al.
Publicado: (2026)
Distributionally-Constrained Adversaries in Online Learning
por: Blanchard, Moïse, et al.
Publicado: (2025)
por: Blanchard, Moïse, et al.
Publicado: (2025)
World Model on Million-Length Video And Language With Blockwise RingAttention
por: Liu, Hao, et al.
Publicado: (2024)
por: Liu, Hao, et al.
Publicado: (2024)
Hawkeye: Reproducing GPU-Level Non-Determinism
por: Badash, Erez, et al.
Publicado: (2026)
por: Badash, Erez, et al.
Publicado: (2026)
Machine learning for modular multiplication
por: Lauter, Kristin, et al.
Publicado: (2024)
por: Lauter, Kristin, et al.
Publicado: (2024)
GNN-MultiFix: Addressing the pitfalls for GNNs for multi-label node classification
por: Zhao, Tianqi, et al.
Publicado: (2024)
por: Zhao, Tianqi, et al.
Publicado: (2024)
Automatically Interpreting Millions of Features in Large Language Models
por: Paulo, Gonçalo, et al.
Publicado: (2024)
por: Paulo, Gonçalo, et al.
Publicado: (2024)
Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
por: Jaiswal, Abhishek, et al.
Publicado: (2024)
por: Jaiswal, Abhishek, et al.
Publicado: (2024)
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
por: Birrell, Jeremiah, et al.
Publicado: (2026)
por: Birrell, Jeremiah, et al.
Publicado: (2026)
Optimal Transport Regularized Divergences: Application to Adversarial Robustness
por: Birrell, Jeremiah, et al.
Publicado: (2023)
por: Birrell, Jeremiah, et al.
Publicado: (2023)
Disentangled and Self-Explainable Node Representation Learning
por: Piaggesi, Simone, et al.
Publicado: (2024)
por: Piaggesi, Simone, et al.
Publicado: (2024)
OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
por: Renda, Alana, et al.
Publicado: (2025)
por: Renda, Alana, et al.
Publicado: (2025)
A Teacher Is Worth A Million Instructions
por: Kothari, Nikhil, et al.
Publicado: (2024)
por: Kothari, Nikhil, et al.
Publicado: (2024)
Mixture of A Million Experts
por: He, Xu Owen
Publicado: (2024)
por: He, Xu Owen
Publicado: (2024)
Revisiting Day-ahead Electricity Price: Simple Model Save Millions
por: Wang, Linian, et al.
Publicado: (2024)
por: Wang, Linian, et al.
Publicado: (2024)
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
por: Andrew, Bailey, et al.
Publicado: (2024)
por: Andrew, Bailey, et al.
Publicado: (2024)
Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale
por: Jones, Haydn, et al.
Publicado: (2026)
por: Jones, Haydn, et al.
Publicado: (2026)
Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs
por: Giordani, Jeremiah
Publicado: (2025)
por: Giordani, Jeremiah
Publicado: (2025)
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
por: Lab, Mind, et al.
Publicado: (2026)
por: Lab, Mind, et al.
Publicado: (2026)
Efficient Generative Transformer Operators For Million-Point PDEs
por: Koupaï, Armand Kassaï, et al.
Publicado: (2025)
por: Koupaï, Armand Kassaï, et al.
Publicado: (2025)
Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization
por: Xue, Yuan, et al.
Publicado: (2026)
por: Xue, Yuan, et al.
Publicado: (2026)
Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison
por: Göttlich, Simone, et al.
Publicado: (2024)
por: Göttlich, Simone, et al.
Publicado: (2024)
Collaborative Min-Max Regret in Grouped Multi-Armed Bandits
por: Blanchard, Moïse, et al.
Publicado: (2025)
por: Blanchard, Moïse, et al.
Publicado: (2025)
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
por: Luo, Huakun, et al.
Publicado: (2025)
por: Luo, Huakun, et al.
Publicado: (2025)
Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data
por: Zhao, Tianqi, et al.
Publicado: (2025)
por: Zhao, Tianqi, et al.
Publicado: (2025)
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
por: Lee, Heejun, et al.
Publicado: (2025)
por: Lee, Heejun, et al.
Publicado: (2025)
Ejemplares similares
-
Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors
por: Ross, Alexis, et al.
Publicado: (2025) -
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
por: Ross, Alexis, et al.
Publicado: (2024) -
Policy Learning with a Language Bottleneck
por: Srivastava, Megha, et al.
Publicado: (2024) -
TabFlex: Scaling Tabular Learning to Millions with Linear Attention
por: Zeng, Yuchen, et al.
Publicado: (2025) -
Optimistic Verifiable Training by Controlling Hardware Nondeterminism
por: Srivastava, Megha, et al.
Publicado: (2024)