conftrace_

code debugging

13 papers

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Co-occurring keywords · papers mentioning both

large language model (7) code generation (5) benchmark evaluation (3) code understanding (2) software engineering (2) multi-task learning (2) runtime error (1) logical error (1) error resolution (1) multi-bug detection (1)

Papers

TDFlow: Agentic Workflows for Test Driven Development EACL 2026 COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis NAACL 2025 Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging ACL 2025 MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios ACL 2025 NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025 RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models EMNLP 2025 Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors EMNLP 2025 Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ACL 2024 Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks EMNLP 2024 Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging EMNLP 2024 StackEval: Benchmarking LLMs in Coding Assistance NeurIPS 2024 Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022 CoTexT: Multi-task Learning with Code-Text Transformer ACL 2021