LLMs Get Smarter from Targeted Synthetic Multilingual Data
针对多语言提示下大模型表现不一的难题,用定向合成数据提升模型智能,值得关注。
arXiv:2608.15964v1 Announce Type: cross Abstract: Language-specific competency (LSC) is the phenomenon of a language model performing better or worse …
针对多语言提示下大模型表现不一的难题,用定向合成数据提升模型智能,值得关注。
arXiv:2608.15964v1 Announce Type: cross Abstract: Language-specific competency (LSC) is the phenomenon of a language model performing better or worse …
LLM表征与人类大脑活动的左右不对称性随形式语言能力增强而涌现,揭示AI与神经科学的交叉新发现。
arXiv:2602.12811v2 Announce Type: replace-cross Abstract: When humans and large language models (LLMs) process the same text, activations in the LLMs …
新方法EMCEE通过提取合成多语言上下文,巧妙桥接知识与推理,显著增强大模型的多语言能力
arXiv:2503.05846v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have achieved impressive progress across a wide range of tasks,…
探究中国开源大模型究竟支持哪些中国境内语言,揭示多语言能力背后的数据偏见。
arXiv:2504.00289v3 Announce Type: replace-cross Abstract: The release of top-performing open-weight LLMs has cemented China's role as a leading force …