论文提出推理时引导方法，改善大语言模型跨语言事实一致性，提升多语言可靠性。
arXiv:2607.19243v1 Announce Type: cross Abstract: Although Large Language Models (LLMs) demonstrate remarkable multilingual fluency, their internal kn…
突破线性限制，LLM行为控制新范式：可逆潜在变换实现更灵活激活引导
arXiv:2606.08454v1 Announce Type: new Abstract: Activation steering provides a lightweight inference-time mechanism for controlling large language mod…
概念异质性感知的表示引导，突破单一方向局限，精准控制大模型行为
arXiv:2603.02237v2 Announce Type: replace Abstract: Representation steering offers a lightweight mechanism for controlling the behavior of large langu…
无需训练，推理时直接干预logit实现语言模型可控生成，SWAI方法简洁高效。
arXiv:2601.10960v2 Announce Type: replace-cross Abstract: Controllable generation requires language models to realize output characteristics such as r…