arXiv (All)
open access
PonyEval: Evaluating LLM-Based Program Repair for Capability-Safe and Actor-Oriented Pony Software
Repository-level issue-resolution benchmarks have made executable evaluation central to software-engineering agents, but their language coverage remains concentrated in mainstream ecosystems. Pony presents a different regime: it combines actors, reference capabilities, ahead-of-time compilation, and
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Experimental Settings in LLM-Based Program Repair: A Study of Inputs, Tool Access, Feedback, and Validation#1011704
- Experimental Settings in LLM-Based Program Repair: A Study of Inputs, Tool Access, Feedback, and Validation#965480
- Revisiting Feedback-Driven LLM Code Repair: A Replication and Exploratory Java Extension#819814
- Revisiting Feedback-Driven LLM Code Repair: A Replication and Exploratory Java Extension#809818
- Externalizing Requirement-to-Repair Artifacts as Observable Traces for LLM-Based Program Repair#1084819
Record · ID 1064376
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive