arXiv (All)
open access
MSLL: A Runtime Multi-Stack Parsing Approach for Interactive Grammar Development - A Lightweight Extension of LL-Style Recursive Descent
Few grammars are designed in a straight line. During grammar prototyping, authors often want to run a partially settled rule before refactoring overlapping alternatives or regenerating parser code. Predictive parsers are effective for stable grammars, but their generation and compilation loop can sl
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
- Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-Driven Code Generation#1141217
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#798985
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#797571
- Automated program synthesis from natural language for domain specific computing … — Virginia Tech Intellectual Properties, Inc. (US10843080B2)#607296
- Ten simple rules for effective use of generative AI for code development in environmental science#676220
Record · ID 1013272
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