Navigating the Conceptual Multiverse
When language models answer open-ended questions, they implicitly make decisions that shape their answers. However, the models do not show these decisions to the user, so users cannot contextualize answers: they cannot see the assumptions an answer rests on or the alternatives to it. Drawing on multiverse analysis from statistics, we introduce the conceptual multiverse, a representation in which language models express answers as the result of intermediate conceptual decisions. We build a system that generates such decisions explicitly, organizes them into a space of answers that users can see and change, and checks them against the norms of a specific domain. In a user study across three...
| Authors | Andre Ye, Jenny Y. Huang, Alicia Guo et al. |
|---|---|
| Primary category | cs.HC |
| Published | 20 April 2026 |
| Last updated at source | 11 October 2026 |
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