Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing
arXiv:2610.29057v1 Announce Type: new Abstract: Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single aggregated answer. This setting requires multi-instance processing (MIP), where a…
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- 2026-10-22 04:00 · arXiv cs.AI
Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing