Vygotsky Distance: Measure for Benchmark Task Similarity
Fuente:
arXiv
Saved in:
| Main Authors: | Surkov, Maxim K., Yamshchikov, Ivan P. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On measuring grounding and generalizing grounding problems
by: Quigley, Daniel, et al.
Published: (2025)
by: Quigley, Daniel, et al.
Published: (2025)
Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
by: Amornbunchornvej, Chainarong
Published: (2026)
by: Amornbunchornvej, Chainarong
Published: (2026)
Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
by: Arabov, Mullosharaf K.
Published: (2026)
by: Arabov, Mullosharaf K.
Published: (2026)
SOMson -- Sonification of Multidimensional Data in Kohonen Maps
by: Linke, Simon, et al.
Published: (2024)
by: Linke, Simon, et al.
Published: (2024)
Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)
by: Fang, Biyi, et al.
Published: (2025)
Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)
by: Levin, Ilya
Published: (2026)
Multimodal Classification of Teaching Activities from University Lecture Recordings
by: Sapena, Oscar, et al.
Published: (2023)
by: Sapena, Oscar, et al.
Published: (2023)
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)
by: Xu, Zhi-Qin John, et al.
Published: (2019)
Automated Feedback Generation for Undergraduate Mathematics: Development and Evaluation of an AI Teaching Assistant
by: Gohr, Aron, et al.
Published: (2026)
by: Gohr, Aron, et al.
Published: (2026)
Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization
by: Li, Yin
Published: (2025)
by: Li, Yin
Published: (2025)
Enhancing Programming Pair Workshops: The Case of Teacher Pre-Prompting
by: Petersson, Johan
Published: (2025)
by: Petersson, Johan
Published: (2025)
Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
by: Platzer, André
Published: (2024)
by: Platzer, André
Published: (2024)
Graded Transformers
by: Shaska Sr, Tony
Published: (2025)
by: Shaska Sr, Tony
Published: (2025)
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
by: Guo, Jinyao, et al.
Published: (2025)
by: Guo, Jinyao, et al.
Published: (2025)
Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)
by: Tamim, Abdulrahman
Published: (2026)
Active perception and disentangled representations allow continual, episodic zero and few-shot learning
by: Rawlinson, David, et al.
Published: (2026)
by: Rawlinson, David, et al.
Published: (2026)
Toward Self-Driving Universities: Can Universities Drive Themselves with Agentic AI?
by: Koubaa, Anis
Published: (2026)
by: Koubaa, Anis
Published: (2026)
Rational Functions on the Projective Line from a Computational Viewpoint
by: Badr, Eslam, et al.
Published: (2025)
by: Badr, Eslam, et al.
Published: (2025)
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis
by: Sakabe, Eduardo Y., et al.
Published: (2025)
by: Sakabe, Eduardo Y., et al.
Published: (2025)
An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
by: Akpan, Ikpe Justice, et al.
Published: (2024)
by: Akpan, Ikpe Justice, et al.
Published: (2024)
Quantifying Behavioral Dissimilarity Between Mathematical Expressions
by: Mežnar, Sebastian, et al.
Published: (2024)
by: Mežnar, Sebastian, et al.
Published: (2024)
AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations
by: Weuts, Raphaël, et al.
Published: (2025)
by: Weuts, Raphaël, et al.
Published: (2025)
Hallucinations Live in Variance
by: Flouro, Aaron R., et al.
Published: (2026)
by: Flouro, Aaron R., et al.
Published: (2026)
Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
by: Chen, Tiejin, et al.
Published: (2026)
by: Chen, Tiejin, et al.
Published: (2026)
LLMDFA: Analyzing Dataflow in Code with Large Language Models
by: Wang, Chengpeng, et al.
Published: (2024)
by: Wang, Chengpeng, et al.
Published: (2024)
The Significance of Symbolic Logic for Scientific Education
by: Platzer, André
Published: (2024)
by: Platzer, André
Published: (2024)
The Limits of AI Explainability: An Algorithmic Information Theory Approach
by: Rao, Shrisha
Published: (2025)
by: Rao, Shrisha
Published: (2025)
A Monad-Based Clause Architecture for Artificial Age Score (AAS) in Large Language Models
by: Kayadibi, Seyma Yaman
Published: (2025)
by: Kayadibi, Seyma Yaman
Published: (2025)
Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)
by: Bird, George, et al.
Published: (2021)
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
by: Okpala, Izunna, et al.
Published: (2025)
by: Okpala, Izunna, et al.
Published: (2025)
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
A Landmark-Aware Visual Navigation Dataset
by: Johnson, Faith, et al.
Published: (2024)
by: Johnson, Faith, et al.
Published: (2024)
Geist in the Machine: Simulating Recognition and Inner Dialogue in AI-Mediated Teaching and Research
by: Magee, Liam
Published: (2026)
by: Magee, Liam
Published: (2026)
Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
by: McInnes, Lois Curfman, et al.
Published: (2025)
by: McInnes, Lois Curfman, et al.
Published: (2025)
Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)
by: Doumèche, Nathan
Published: (2025)
Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning
by: Xu, Ruoran, et al.
Published: (2026)
by: Xu, Ruoran, et al.
Published: (2026)
The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Laws of Learning Dynamics and the Core of Learners
by: Jung, Inkee, et al.
Published: (2026)
by: Jung, Inkee, et al.
Published: (2026)
Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions
by: Liu, Qirui, et al.
Published: (2026)
by: Liu, Qirui, et al.
Published: (2026)
Similar Items
-
On measuring grounding and generalizing grounding problems
by: Quigley, Daniel, et al.
Published: (2025) -
Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
by: Amornbunchornvej, Chainarong
Published: (2026) -
Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
by: Arabov, Mullosharaf K.
Published: (2026) -
SOMson -- Sonification of Multidimensional Data in Kohonen Maps
by: Linke, Simon, et al.
Published: (2024) -
Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)