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Found 2 papers, 2 papers with code
Bridging the Gap between Different Vocabularies for LLM Ensemble
Ensembling different large language models (LLMs) to unleash their complementary potential and harness their individual strengths is highly valuable.
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Recently, token-level adaptive training has achieved promising improvement in machine translation, where the cross-entropy loss function is adjusted by assigning different training weights to different tokens, in order to alleviate the token imbalance problem.
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