Cover Image

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Grotov, Konstantin, Borzilov, Artem, Krivobok, Maksim, Bryksin, Timofey, Zharov, Yaroslav
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
by: Grotov, Konstantin, et al.
Published: (2024)

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

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

Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks
by: King, Grant, et al.
Published: (2025)

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

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

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024)

Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings
by: Tsvetkov, Petr, 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)

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

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

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

Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance Narratives
by: Naik, Prathamesh Vasudeo, et al.
Published: (2025)

Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)

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

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

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

Small Models, Smarter Learning: The Power of Joint Task Training
by: Both, Csaba, et al.
Published: (2025)

Can Coding Agents Be General Agents?
by: Ivanov, Maksim, et al.
Published: (2026)

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
by: Zhang, Bingjie, et al.
Published: (2025)

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees
by: Ma, Xiaoyu, et al.
Published: (2026)

A Comparative Analysis of Influence Signals for Data Debugging
by: Myrtakis, Nikolaos, et al.
Published: (2025)

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
by: Zhao, Lei, et al.
Published: (2023)

Ban&Pick: Ehancing Performance and Efficiency of MoE-LLMs via Smarter Routing
by: Chen, Yuanteng, et al.
Published: (2025)

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
by: Yu, Zishun, et al.
Published: (2025)

Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
by: Wu, Lirong, et al.
Published: (2024)

Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
by: Balagopalan, Kapilan, et al.
Published: (2026)

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

The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
by: Ballon, Marthe, et al.
Published: (2025)

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

Read, Extract, Classify: A Tool for Smarter Requirements Engineering
by: Bhattacharya, Paheli, et al.
Published: (2026)

Benchmarks Saturate When The Model Gets Smarter Than The Judge
by: Ballon, Marthe, et al.
Published: (2026)

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents
by: Dobrovsky, Aline, et al.
Published: (2025)

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
by: Rodkin, Ivan, et al.
Published: (2025)

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
by: Huang, Jiawei, et al.
Published: (2024)

Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs
by: Kudva, Akshay, et al.
Published: (2025)

Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
by: Walder, Christian, et al.
Published: (2025)

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
by: Wan, Xingchen, et al.
Published: (2024)

Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)

Fuzzy-Pattern Tsetlin Machine
by: Hnilov, Artem
Published: (2025)