arXiv (All)
open access
SERIAL-7: Deriving, Realizing, and Preserving Machine-Verifiable Outputs Across Representations
Large language models increasingly generate structured outputs consumed by programs and downstream systems, where semantic correctness alone does not guarantee reliable execution. We introduce SERIAL-7, a Korean-English benchmark built around an executable verification framework for machine-verifiab
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
- TrussTutor-Bench: Benchmarking large language models on solution accuracy, sycophancy, and error detection in statics#1489987
- ASAP: Assembly-Source Aligned Pseudocode Refinement For Binary Decompilation#1215982
- VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks#1155907
- Stepwise Reasoning Verification: Don't Generate, Classify!#1400269
- AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification#1141603
Record · ID 1534489
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