Copertina

Treefix: Enabling Execution with a Tree of Prefixes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Souza, Beatriz, Pradel, Michael
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects
di: Bouzenia, Islem, et al.
Pubblicazione: (2024)

Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories
di: Bouzenia, Islem, et al.
Pubblicazione: (2025)

AgentStepper: Interactive Debugging of Software Development Agents
di: Hutter, Robert, et al.
Pubblicazione: (2026)

ChangeGuard: Validating Code Changes via Pairwise Learning-Guided Execution
di: Gröninger, Lars, et al.
Pubblicazione: (2024)

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
di: Bouzenia, Islem, et al.
Pubblicazione: (2024)

Agentic AI Software Engineers: Programming with Trust
di: Roychoudhury, Abhik, et al.
Pubblicazione: (2025)

Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning
di: Jiang, Yuan, et al.
Pubblicazione: (2025)

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution
di: Ni, Ziyi, et al.
Pubblicazione: (2024)

Layer-wise MoE Routing Locality under Shared-Prefix Code Generation: Token-Identity Decomposition and Compile-Equivalent Fork Redundancy
di: Hayashi, Shun-ichiro, et al.
Pubblicazione: (2026)

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling
di: Ni, Ziyi, et al.
Pubblicazione: (2024)

DyPyBench: A Benchmark of Executable Python Software
di: Bouzenia, Islem, et al.
Pubblicazione: (2024)

Ambiguity Detection and Elimination in Automated Executable Process Modeling
di: Matei, Ion, et al.
Pubblicazione: (2026)

Learning Adaptive Parallel Execution for Efficient Code Localization
di: Xu, Ke, et al.
Pubblicazione: (2026)

STELP: Secure Transpilation and Execution of LLM-Generated Programs
di: Shinde, Swapnil, et al.
Pubblicazione: (2026)

Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs
di: Sakharova, Marina, et al.
Pubblicazione: (2025)

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery
di: Zhang, Yifan, et al.
Pubblicazione: (2026)

REDO: Execution-Free Runtime Error Detection for COding Agents
di: Li, Shou, et al.
Pubblicazione: (2024)

An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning
di: Li, Yikun, et al.
Pubblicazione: (2026)

PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
di: Cui, Yuxin, et al.
Pubblicazione: (2026)

SHERPA: A Model-Driven Framework for Large Language Model Execution
di: Chen, Boqi, et al.
Pubblicazione: (2025)

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
di: Wu, Yue, et al.
Pubblicazione: (2025)

Repairing Tool Calls Using Post-tool Execution Reflection and RAG
di: Tsay, Jason, et al.
Pubblicazione: (2025)

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE
di: Feldt, Robert, et al.
Pubblicazione: (2026)

Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction
di: Gao, Xingjie, et al.
Pubblicazione: (2026)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents
di: Guo, Chengquan, et al.
Pubblicazione: (2024)

CASET: Complexity Analysis using Simple Execution Traces for CS* submissions
di: Mehta, Aaryen, et al.
Pubblicazione: (2024)

Toward Executable Repository-Level Code Generation via Environment Alignment
di: Pan, Ruwei, et al.
Pubblicazione: (2026)

FlyCatcher: Neural Inference of Runtime Checkers from Tests
di: Souza, Beatriz, et al.
Pubblicazione: (2026)

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
di: Garg, Spandan, et al.
Pubblicazione: (2026)

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code
di: Petrovic, Nenad, et al.
Pubblicazione: (2025)

ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution
di: Wang, Yubang, et al.
Pubblicazione: (2026)

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation
di: Jiang, Yongqing, et al.
Pubblicazione: (2026)

Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents
di: Tse-Hsun, et al.
Pubblicazione: (2026)

FlowMind: Execute-Summarize for Structured Workflow Generation from LLM Reasoning
di: Liu, Yihao, et al.
Pubblicazione: (2026)

ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files
di: Sharma, Reshabh K
Pubblicazione: (2026)

Learning Correct Behavior from Examples: Validating Sequential Execution in Autonomous Agents
di: Sharma, Reshabh K, et al.
Pubblicazione: (2026)

Agentic Scientific Simulation: Execution-Grounded Model Construction and Reconstruction
di: Lie, Knut-Andreas, et al.
Pubblicazione: (2026)

DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
di: Huang, Zhili, et al.
Pubblicazione: (2025)

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation
di: Ouyang, Shuyin, et al.
Pubblicazione: (2026)

AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering
di: Kumar, Rajesh, et al.
Pubblicazione: (2026)