arXiv (All)
open access
Passes Alone, Fails Together: Benchmarking Semantic Coordination in Parallel LLM-Agent Development
Parallel coding agents can produce patches that work alone but fail when merged. This happens when one agent changes an interface or rule that another agent still relies on. We study these failures with stale, a benchmark for semantic coordination. Our evaluation runs the same tests on each patch al
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
- Passes Alone, Fails Together: Benchmarking Semantic Coordination in Parallel LLM-Agent Development#1043163
- Benchmarking LLM Serving Systems for Agentic AI Workloads with XPerf#658949
- Benchmarking LLM Serving Systems for Agentic AI Workloads with XPerf#656813
- LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling#172745
- Execution-First Synthetic Tool-Use Trace Generation for LLM Agents#997524
Record · ID 1051889
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