Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams 事件

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams arXiv:2603.19250v2 Announce Type: replace Abstract: Evaluating language models in streaming environments is critical, yet underexplored. Existing benchmarks either focus on single complex events or provide curated inputs for each query, and do not evaluate models under the conflicts that arise when multiple concurrent events are mixed within the same document stream. We introduce StreamBench, a benchmark built