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cs.CL2026
Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs
Bo Li, Tianyu Dong, Shaolin Zhu +1
Large Language Models (LLMs) have shown great promise in multilingual machine translation (MT), even with limited bilingual supervision. However, fine-tuning LLMs with parallel cor…
cs.AI2026
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
Xiaoyu Xiong, Yuqi Ren, Deyi Xiong
Large language models (LLMs), have shown strong potential in scientific discovery, yet existing methods still face substantial challenges in the design of research workflows and mu…