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Reward Design as a Procedure: From Objectives to Causal Coverage to a Polytope of Weights

把奖励设计变成一道流程:从目标到因果覆盖再到权重多面体

AVA-Encoder: Turning Films into Knowledge Graphs an Agent Can Actually Edit

AVA-Encoder:把电影压成智能体能改的知识图谱

CAM's Family Tree: A Method-Centered Map of Visual Explanation from CNNs to Foundation Models

CAM 的家谱:从 CNN 到基础模型的视觉解释方法地图

DARTree: Teaching a Chain-Trained Corrector to Think in Trees

DARTree:让只会走直线的纠正头学会长成树

DreamFly: Teaching a Drone to Remember, Rehearse, and Know When to Stop

DreamFly:让无人机学会记忆、预演,以及知道何时停下

Uncertainty as an Input, Not an Afterthought: LLM Sentiment Meets Small-Cap Portfolio Construction

把不确定性当作输入,而不是事后补丁:LLM 情绪信号与小盘股组合构建

LittleLearner: What Happens When You Cap a Language Model at Fifth Grade

LittleLearner:把语言模型的知识天花板锁在小学五年级

Softmax Attention Was Always a Born-Rule Object (If You Live on the Simplex)

当数据活在概率单形上,Softmax 注意力本来就是玻恩规则的产物

AdvFD: When Your Fréchet Loss Gets Gamed, Make the Metric Fight Back

AdvFD:当 Fréchet 损失被刷分,就让度量自己反击

Building the Jig Instead of Training the Hands: Test-Time Capability Transfer via Harnesses

不训练学生,只造夹具:用 Harness 在推理期完成能力迁移

CausalSplat: Teaching Gaussian Splats to Answer 'Why', Not Just 'Where

CausalSplat:让高斯泼溅从「指哪打哪」走向「听懂话里的意思」

Conditional Independence Tests as the Weak Link in Causal Discovery

条件独立性检验:因果发现流水线上最脆弱的一环

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