微博 排名 话题 1 佛得角逼平两个世界冠军 2 西班牙 杀疯了 3 龙舟经济火爆 4 乌拉圭门将超巨失误 5 Babycare好奇恳请公布检测结果 6 渐冻症女子安装监控拍下男护工猥亵 7 乌拉圭2比2佛得角 8 张靓颖清唱太多被罚款 9 电脑也一天一个价了 10 许凯吴彦姝承欢记售后 11 排队给西班牙道歉 12 王濛万千惠聊天记录 13 向太和向佑和解归功于向佐 14 新西兰破门 15 李现开球 16 梅西看到马宁怒斥德保罗后笑了 17 人失去魅力的十种行为 18 伊朗当面查美国作业 19 抓特务票房 20 国产呼吸机比进口便宜8成仍卖不动 21 搞砸了赖伟明的暗恋 22 伊朗暂升小组第一 23 佛得角门将收不续约通知 24 李现开球属于赛前商业环节 25 乌拉圭vs佛得角 26 向太拉黑向佑后首次联系 27 田曦薇和碗撞衫 28 niko 29 陈小春边哭边改 30 国乒一线主力将全员回归 知乎 排名 话题 1 刘强东说将来根本 ...

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数据来源：ArXiv Domain LLM Domain Papers1. Training AI Co-Scientists Using Rubric RewardsAI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the ability to generate a research plan given a set of aims and constraints. The plan may be used by researchers for brainstorming, or may even be implemented after further refinement. However, language models currently struggle to generate research plans that fol ...

数据来源：ArXiv Domain LLM Domain Papers1. SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and TimeWe present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous and arbitrary exploration across space and time. To achieve this, we introduce an e ...

数据来源：ArXiv Domain LLM Domain Papers1. SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and TimeWe present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous and arbitrary exploration across space and time. To achieve this, we introduce an e ...

数据来源：ArXiv Domain LLM Domain Papers1. SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and TimeWe present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous and arbitrary exploration across space and time. To achieve this, we introduce an e ...

数据来源：ArXiv Domain LLM Domain Papers1. SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and TimeWe present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePilot can independently alter the camera viewpoint and the motion sequence within the generative process, re-rendering the scene for continuous and arbitrary exploration across space and time. To achieve this, we introduce an e ...

数据来源：ArXiv Domain LLM Domain Papers1. Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning ModelsMeta-learning aims to leverage information across related tasks to improve prediction on unlabeled data for new tasks when only a small number of labeled observations are available (“few-shot” learning). Increased task diversity is often believed to enhance meta-learning by providing richer information across tasks. However, recent work by Kumar et al. (2022) shows t ...

数据来源：ArXiv Domain LLM Domain Papers1. EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion DetectionSpeech emotion recognition (SER) systems are constrained by existing datasets that typically cover only 6-10 basic emotions, lack scale and diversity, and face ethical challenges when collecting sensitive emotional states. We introduce EMONET-VOICE, a comprehensive resource addressing these limitations through two components: (1) EmoNet-Voice Big, a 5,000-hour multilingual ...

数据来源：ArXiv Domain LLM Domain Papers1. Automated Semantic Rules Detection (ASRD) for Emergent Communication InterpretationThe field of emergent communication within multi-agent systems examines how autonomous agents can independently develop communication strategies, without explicit programming, and adapt them to varied environments. However, few studies have focused on the interpretability of emergent languages. The research exposed in this paper proposes an Automated Semantic Rules Detection ...

数据来源：ArXiv Domain LLM Domain Papers1. Optimal Lower Bounds for Online MulticalibrationWe prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting where group functions can depend on both context and the learner’s predictions, we prove an $Ω(T^{2/3})$ lower bound on expected multicalibration error using just three disjoint binary groups. This matches the upper bounds of Noarov et al. (2025) up to log ...

数据来源：ArXiv Domain LLM Domain Papers1. Optimal Lower Bounds for Online MulticalibrationWe prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting where group functions can depend on both context and the learner’s predictions, we prove an $Ω(T^{2/3})$ lower bound on expected multicalibration error using just three disjoint binary groups. This matches the upper bounds of Noarov et al. (2025) up to log ...

数据来源：ArXiv Domain LLM Domain Papers1. Optimal Lower Bounds for Online MulticalibrationWe prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting where group functions can depend on both context and the learner’s predictions, we prove an $Ω(T^{2/3})$ lower bound on expected multicalibration error using just three disjoint binary groups. This matches the upper bounds of Noarov et al. (2025) up to log ...

数据来源：ArXiv Domain LLM Domain Papers1. Manifold limit for the training of shallow graph convolutional neural networksWe study the discrete-to-continuum consistency of the training of shallow graph convolutional neural networks (GCNNs) on proximity graphs of sampled point clouds under a manifold assumption. Graph convolution is defined spectrally via the graph Laplacian, whose low-frequency spectrum approximates that of the Laplace-Beltrami operator of the underlying smooth manifold, and shallow ...

数据来源：ArXiv Domain LLM Domain Papers1. Modeling LLM Agent Reviewer Dynamics in Elo-Ranked Review SystemIn this work, we explore the Large Language Model (LLM) agent reviewer dynamics in an Elo-ranked review system using real-world conference paper submissions. Multiple LLM agent reviewers with different personas are engage in multi round review interactions moderated by an Area Chair. We compare a baseline setting with conditions that incorporate Elo ratings and reviewer memory. Our simulation ...