引言 推理LLMs背后什么原理，跟通用LLMs有什么区别？2024年，Scaling Law逐步见顶，业界普遍认为通用LLM走到“高原区”，进化乏力，除了多模态LLM还在日新月异。行业灯塔OpenAI也迟迟不发布GPT-5, ...

大语言模型（LLM）近年来在推荐系统和个性化问答中被广泛应用。为了追求更加个性化的用户体验，实现「千人千面」，将用户的历史点击序列融入LLM的输入中变得至关重要。最常见结合的方式是，将用户点击历史，利用特定的规则转化为自然语言文本，作为LLM的用户背 ...

Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at ...

In 1948, the founder of information theory, Claude Shannon, proposed modeling language in terms of the probability of the ...

Large language models (LLMs) show promise in tackling planning problems, but there's a balance between flexibility and ...

首先，比较「单轮」结果和其他协作结果，可以看到多轮协作可以通过将最终结果与人类模拟器的参考「期望」更紧密地结合起来，从而大大提高 LLM 智能体在 artifact 创建方面的性能。如果智能体必须在一个轮次内直接生产最终结果，那么即使是表现最好的 ...

传统的规划评测大多在单人、可完全观察的环境中进行，无法充分反映现实中团队决策的复杂度。而 SPIN-Bench 试图通过形式化任务与多人场景相结合，把现实中需要的 "同伴合作"" 谈判博弈 " 等关键技能一并纳入，以帮助找到 LLM ...

LLM students have access to BC Law's extensive Career Services Office programming and network and are provided dedicated career counselors to assist them in finding the right path for the next step in ...

A new framework called METASCALE enables large language models (LLMs) to dynamically adapt their reasoning mode at inference time. This framework addresses one of LLMs’ shortcomings, which is using ...