English questions to LLMs on Bengali culture increase global substitution and institutional framing while reducing local perspective coverage compared to Bangla questions.
InProceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research, pages 4411–4421
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CroCo applies English-reward-ranked self-generations for contrastive preference tuning that improves two LLMs on structured and open-ended tasks across 14 languages without language-specific annotations.
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When English Rewrites Local Knowledge: Global Narrative Dominance in Large Language Models
English questions to LLMs on Bengali culture increase global substitution and institutional framing while reducing local perspective coverage compared to Bangla questions.
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CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations
CroCo applies English-reward-ranked self-generations for contrastive preference tuning that improves two LLMs on structured and open-ended tasks across 14 languages without language-specific annotations.