From user-understandable to technical process model: a model-driven approach using cuta4bpm
2026-05-27T08:51:59Z•69cb268acf0844e0a7fd12b5673625855772a15b8bed65c762bb4eddc02b7599
Augment-EngineeringESBMCLLMRepoMirageSetupXUI-generationVISTAagentic-RAGbenchmarkingcode-agentsformal-verificationmodel-orchestrationrepository-contextsafetysetup-automationtool-schema-compression
What happened
This feed collects recent 2026 CS/SE papers focused on AI-agent orchestration, code/agent benchmarks, model-driven process modeling, repository reasoning, and formal verification. Key contributions and risks: (1) Tool-Schema Compression (TSCG) shows JSON-schema tool definitions overflow limited LM contexts, breaking agentic RAG; compressed schemas restore functionality — a deployment-critical infrastructure concern for constrained environments. (2) A universal detection-cliff paper reports that multi-agent orchestration degrades cross-section defect detection (models that find contradictions 单
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 69cb268acf0844e0a7fd12b5673625855772a15b8bed65c762bb4eddc02b7599
- Enrichment time
- 2026-05-27T08:51:59Z
- AI-assisted enrichment
- Yes
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