multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
determinism — Whether the same input reliably produces the same output — something LLM systems mostly lack, which changes how you test and debug them.
Why it matters
determinismWhether the same input reliably produces the same output — something LLM systems mostly lack, which changes how you test and debug them.Full definition → checking at scale needs automation as submissions outpace manual review. Dude's two-stage negotiation between agents cuts false positives while catching more real paper-code mismatches than single-AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → approaches.
articlePosition: Multi-Agent Systems Should Prioritize Concurrency ControlXin Yang, Letian Li, Zimo Ji, Terry Jingchen Zhang, Wenyuan Jiang
articleInter-dimension Dependence for Multi-Dimensional Evaluation of Open-Ended TextHaoyuan Li, Snigdha Chaturvedi
articleCallability Is Not Operability: Controlled Interface Interventions for LLM AgentsZihao Wang