When Context Misleads: In-context Learning with Jurisdiction in Large Language Models
J-ICL is proposed, a post-training framework that incorporates context validation into the training objective and improves ICLEval and reality accuracy by an average of 5.84 percentage points and reality accuracy by 9.20 points over the corresponding base models.
Pei-Lin Li, Qing-Le Liu, Jun-Yang Feng et al.
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