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title
description
image
site name
author
updated
2026-02-26 08:48:50
raw text
SituatedQA SituatedQA Home Data Explorer Leaderboard SituatedQA: Incorporating Extra-Linguistic Contexts into QA About Answers to the same question may change depending on the extra-linguistic contexts (when and where the question was asked). To study this challenge, we introduce SituatedQA , an open-retrieval QA dataset where systems must produce the correct answer to a question given the temporal or geographical context. To construct SituatedQA we first identify such questions in existing QA datasets. We find that a significant proportion of information seeking questions have context-dependent answers (e.g., roughly 16.5% of NQ-Open). For such context-dependent questions, we then crowdsource alternative contexts and their corresponding answers. Our study shows that existing models struggle with producing answers that are frequently updated or from uncommon locations. We further quantify how existing models, which are trained on data collected in the past, fail to gen...
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2026-02-26 08:48:50
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