ORACLE-SWE: Quantifying the Contribution of Oracle Information Signals on SWE Agents
Factual evidence
What the source reports
Research quantifies the contribution of individual information signals (e.g., reproduction test, edit location) to LLM agent performance in automated software engineering.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 16 October 2026
- Collected by OneBench
- 11 Apr 2026, 10:17 UK
Stored source excerpt
arXiv:2604.07789v1 Announce Type: cross Abstract: Recent advances in language model (LM) agents have significantly improved automated software engineering (SWE). Prior work has proposed various agentic…
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OneBench interpretation
Institutional assessment
So what
Understanding which signals contribute most to agent performance helps refine architecture for internal LLM-powered software engineering tools and mitigate hallucination.
Do what
This research provides a framework for optimizing the prompt engineering and tooling of LLM agents for software development tasks, impacting future R&D budgets and resource allocation for these systems.