Cover Image

Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Grotov, Konstantin, Titov, Sergey, Zharov, Yaroslav, Bryksin, Timofey
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
by: Grotov, Konstantin, et al.
Published: (2024)

Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
by: Titov, Sergey, et al.
Published: (2025)

On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
by: Kovrigin, Alexander, et al.
Published: (2024)

Themisto: Jupyter-Based Runtime Benchmark
by: Grotov, Konstantin, et al.
Published: (2025)

Hidden Gems in the Rough: Computational Notebooks as an Uncharted Oasis for IDEs
by: Titov, Sergey, et al.
Published: (2024)

Dynamic Retrieval-Augmented Generation
by: Shapkin, Anton, et al.
Published: (2023)

PIPer: On-Device Environment Setup via Online Reinforcement Learning
by: Kovrigin, Alexander, et al.
Published: (2025)

Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings
by: Tsvetkov, Petr, et al.
Published: (2024)

Evolving the Computational Notebook: A Two-Dimensional Canvas for Enhanced Human-AI Interaction
by: Grotov, Konstantin, et al.
Published: (2025)

EnvBench: A Benchmark for Automated Environment Setup
by: Eliseeva, Aleksandra, et al.
Published: (2025)

Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code
by: Galimzyanov, Timur, et al.
Published: (2024)

Step Rejection Fine-Tuning: A Practical Distillation Recipe
by: Slinko, Igor, et al.
Published: (2026)

Full Line Code Completion: Bringing AI to Desktop
by: Semenkin, Anton, et al.
Published: (2024)

Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
by: Sergeyuk, Agnia, et al.
Published: (2024)

Assessing Consensus of Developers' Views on Code Readability
by: Sergeyuk, Agnia, et al.
Published: (2024)

Analysing Python Machine Learning Notebooks with Moose
by: Mignard, Marius, et al.
Published: (2025)

Reassessing Java Code Readability Models with a Human-Centered Approach
by: Sergeyuk, Agnia, et al.
Published: (2024)

On Problems of Implicit Context Compression for Software Engineering Agents
by: Gelvan, Kirill, et al.
Published: (2026)

Automated Modernization of Machine Learning Engineering Notebooks for Reproducibility
by: Jin, Bihui, et al.
Published: (2026)

Long Code Arena: a Set of Benchmarks for Long-Context Code Models
by: Bogomolov, Egor, et al.
Published: (2024)

Clustering MOOC Programming Solutions to Diversify Their Presentation to Students
by: Artser, Elizaveta, et al.
Published: (2024)

A Flexible Cell Classification for ML Projects in Jupyter Notebooks
by: Perez, Miguel, et al.
Published: (2024)

Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
by: Dilhara, Malinda, et al.
Published: (2024)

Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
by: Bellur, Abhiram, et al.
Published: (2025)

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
by: Lindenbauer, Tobias, et al.
Published: (2025)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
by: Li, Yuanpeng, et al.
Published: (2025)

EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs
by: Pomian, Dorin, et al.
Published: (2024)

Context Composing for Full Line Code Completion
by: Semenkin, Anton, et al.
Published: (2024)

Evaluating and Mitigating Errors in LLM-Generated Web API Integrations
by: Maninger, Daniel, et al.
Published: (2025)

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters
by: Zine, Nada, et al.
Published: (2026)

The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
by: Lindenbauer, Tobias, et al.
Published: (2025)

Multi-Agent Coordinated Rename Refactoring
by: Bellur, Abhiram, et al.
Published: (2026)

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
by: Diggs, Colin, et al.
Published: (2024)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
by: Shan, Shiwen, et al.
Published: (2024)

Tool-Augmented LLMs as a Universal Interface for IDEs
by: Zharov, Yaroslav, et al.
Published: (2024)

A Machine Learning-Based Error Mitigation Approach For Reliable Software Development On IBM'S Quantum Computers
by: Muqeet, Asmar, et al.
Published: (2024)

Diff-XYZ: A Benchmark for Evaluating Diff Understanding
by: Glukhov, Evgeniy, et al.
Published: (2025)

Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models
by: Jin, Bihui, et al.
Published: (2025)

scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns
by: Samsonau, Sergey V.
Published: (2026)

Leveraging Reviewer Experience in Code Review Comment Generation
by: Lin, Hong Yi, et al.
Published: (2024)