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DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning

DoubtLess:无需训练的对比解码如何为大模型推理瘦身

Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards

双时钟假说:为什么大 Rollout Batch 在 RLVR 中学得更慢却按时崩盘

AI Models Can Provably Hide Arbitrary Capabilities

模型能够可证明地隐藏任意能力:数字保险箱击穿黑盒红队审计

Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback

图像会回嘴:MMDiT 如何通过抑制图到文反馈重拾提示词忠实度

RSI-Anything: Unlocking Recursive Self-Improvement with World Models

RSI-Anything:世界模型驱动的跨领域递归自进化

Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception

人赃俱获:探针如何捕获大模型的潜伏破坏与心口不一

DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training

DreamTrue:基于反事实后训练的机器人忠实世界模型

Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization

预条件子空间舍入:重塑 4-bit AdamW 优化器状态量化

Decoupling Exploration from Optimization in RLVR

解耦 RLVR 中的探索与优化:ExpDis 框架如何激发大模型推理多样性

EngramEdit: Decoupled Knowledge Updates in LLMs through Conditional Memory

EngramEdit:利用条件记忆解耦大语言模型的事实知识编辑

Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?

装瓶智能体:大模型能否将自身能力编译为廉价高效的复用制品?

World Models' Last Exam in Physics

世界模型的物理学终考:基于物理测量的严苛基准检验

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