Can Large Language Models Reason about Event-Time Stream-Processing Semantics?

Excerpt

arXiv:2608.12348v2 Announce Type: replace-cross Abstract: Streaming systems increasingly hand work to large language models (LLMs): writing pipelines, triaging alerts, reading logs. All of it assumes the model knows how event-time stream processing behaves, and we test that assumption directly. StreamReason-Bench asks a model to stand in for an event-time stream processor. Given a windowed query and a stream of out-of-order events, it reports which windows fire, with their aggregates, and which