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cs.CL2024
SpecFuse: Ensembling Large Language Models via Next-Segment Prediction
Bo Lv, Nayu Liu, Chen Tang +3
Ensembles of generative large language models (LLMs) are a promising way to compensate for individual model limitations, integrating the strengths of different LLMs. Existing LLM e…
cs.CL2024★ 1 cited
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
Shaojie Dai, Xin Liu, Ping Luo +1
Large language model (LLM) has achieved promising performance in multilingual machine translation tasks through zero/few-shot prompts or prompt-tuning. However, due to the mixture…