Giuliano Martinelli
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126
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NLP×1AI×1
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2026
Predicting Causal Effects from Natural Language Queries using Structured Representations
The paper introduces Query2Effect, a large-scale benchmark, and a two-step framework to predict causal effect sizes from natural language queries, showing that structured representation significantly improves accuracy over direct LLM prompting.
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cs.CLcs.AIRecentMay 28, 2026
Predicting Causal Effects from Natural Language Queries using Structured Representations
Giuliano Martinelli, Piriyakorn Piriyatamwong, Abelardo Carlos Martinez Lorenzo, Jasmin Baier +6 more
The paper introduces Query2Effect, a large-scale benchmark, and a two-step framework to predict causal effect sizes from natural language queries, showing that structured representation significantly…
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