用概率程序生成推理数据，有效提升LLM的归纳推理能力，方法新颖且可复现。
arXiv:2606.09856v1 Announce Type: cross Abstract: Post-training Large Language Models (LLMs) for reasoning typically focuses on deductive tasks such a…
新基准FALSIFYBENCH通过规则发现游戏精准评估大模型归纳推理能力，填补了逻辑思维评测空白
arXiv:2606.04751v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents in scientific tasks. Yet w…
儿童与语言模型在假设生成和归纳推理上的相似性，揭示人类与AI在不确定性下构建心理模型的计算原理
arXiv:2605.24528v1 Announce Type: new Abstract: Real world decision-making requires constructing mental models under uncertainty over evidence, over t…
大模型会听指令还是学案例？论文揭示LLMs在指令服从与上下文归纳之间的行为冲突，揭秘“说一套做一套”的根源。
arXiv:2605.20382v1 Announce Type: new Abstract: Language models are trained to follow instructions, but they are also powerful pattern completers. Wha…