Large language models display the identifiable victim effect at roughly twice the human baseline, strongly amplified by instruction tuning and chain-of-thought prompting but inverted by reasoning-specialized models.
Advances in neural information processing systems35, 27730–27744 (2022)
3 Pith papers cite this work. Polarity classification is still indexing.
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STaR-DRO applies momentum-smoothed Tsallis reweighting to focus learning on hard groups in structured prediction, yielding F1 gains on clinical label extraction.
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citing papers explorer
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STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
STaR-DRO applies momentum-smoothed Tsallis reweighting to focus learning on hard groups in structured prediction, yielding F1 gains on clinical label extraction.
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Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology
AIGC creators match HGC engagement via high-volume production despite consumer preference for HGC, with algorithms moderating the effect.