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Counterfactual Reasoning for Robust Visual Question Answering

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.16567v1 Announce Type: new Abstract: Modern Visual Question Answering (VQA) models often exploit spurious correlations in training data, leading to poor out-of-distribution (OOD) generalization due to language bias. Although counterfactual learning has shown promise, existing methods can…

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  1. 2026-09-16 04:00 · arXiv cs.CV
    Counterfactual Reasoning for Robust Visual Question Answering

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