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paired-counterfactuals

topic1 events
papersTODAY 04:00 UTC

TwinICL Benchmark Tests Multimodal In-Context Learning With Paired Counterfactuals

Researchers released TwinICL, a procedurally generated benchmark that provides matched text and image versions of the same tasks, allowing direct comparison of in-context learning across modalities. The paired counterfactual design is intended to isolate how much a model's few-shot performance depends on the input format rather than the task itself. The work appears on arXiv under cs.LG.

benchmark/multimodal/in-context-learning/research