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University of Toronto(多伦多大学)

共收录 1022
2604.14609 2026-04-17 cs.AI physics.comp-ph

El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation

El Agente Forjador:面向量子模拟的任务驱动代理生成

Zijian Zhang, Aiwei Yin, Amaan Baweja, Jiaru Bai, Ignacio Gustin, Varinia Bernales, Alán Aspuru-Guzik

机构 * Department of Computer Science, University of Toronto(多伦多大学计算机科学系) Department of Chemistry, University of Toronto(多伦多大学化学系) Department of Materials Science & Engineering, University of Toronto(多伦多大学材料科学与工程系) Department of Chemical Engineering & Applied Chemistry, University of Toronto(多伦多大学化学工程与应用化学系) Acceleration Consortium(加速联盟) Vector Institute for Artificial Intelligence(人工智能矢量研究所) Canadian Institute for Advanced Research (CIFAR)(加拿大高级研究 institute (CIFAR)) NVIDIA

AI总结 本文提出El Agente Forjador框架,通过四阶段流程自主生成和复用计算工具,提升量子化学和动力学任务的准确性与效率。

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2604.14576 2026-04-17 cs.AI

Enhancing Mental Health Counseling Support in Bangladesh using Culturally-Grounded Knowledge

在孟加拉国增强心理健康咨询支持:基于文化根基的知识

Md Arid Hasan, Azhagu Meena SP, Aditya Khan, Abu Md Akteruzzaman Bhuiyan, Helal Uddin Ahmed, Joysree Debi, Farig Sadeque, Annie En-Shiun Lee, Syed Ishtiaque Ahmed

机构 * University of Toronto(多伦多大学) mPower Social Enterprises Ltd(mPower社会企业有限公司) National Institute of Mental Health(心理健康国家研究所) Sajida Foundation(萨吉达基金会) BRAC University(BRAC大学)

AI总结 本文探讨如何通过系统整合临床验证的知识提升LLM在心理健康咨询中的表现,比较了检索增强生成与知识图谱方法,证明结构化专业知识能提升咨询相关性与实用性。

Comments submitted to CLPsych 2026

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2604.14513 2026-04-17 cs.CL

PeerPrism: Peer Evaluation Expertise vs Review-writing AI

PeerPrism:同行评价专业性与审稿写作AI

Soroush Sadeghian, Alireza Daqiq, Radin Cheraghi, Sajad Ebrahimi, Negar Arabzadeh, Ebrahim Bagheri

机构 * University of Toronto, Reviewerly(多伦多大学,Reviewerly)

AI总结 本文提出PeerPrism基准测试,通过20690篇同行评审数据,区分思想来源与文本来源,揭示现有检测方法在混合场景下的不足,强调需多维度建模作者身份。

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2604.14451 2026-04-17 astro-ph.CO cs.AI cs.CV physics.data-an

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology

FAIR Universe弱引力透镜ML不确定性挑战:处理不确定性和分布偏移以实现精确宇宙学

Biwei Dai, Po-Wen Chang, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Isabelle Guyon, Chris Harris, Elham E Khoda, Benjamin Nachman, David Rousseau, Uroš Seljak, Ihsan Ullah, Yulei Zhang

机构 * Lawrence Berkeley National Laboratory(伯克利劳伦斯国家实验室) Université Paris-Saclay, CNRS/IN2P3, IJCLab(巴黎萨克雷大学,CNRS/IN2P3,IJCLab) ChaLearn University of Washington(华盛顿大学) University of California, Berkeley(加州大学伯克利分校) University of Toronto(多伦多大学) Stanford University(斯坦福大学) SLAC National Accelerator Laboratory(SLAC国家加速器实验室) University of California, San Diego(圣地亚哥大学)

AI总结 本文提出首个弱引力透镜基准数据集,通过处理有限训练集和分布偏移,推动ML方法在弱引力透镜分析中的应用,促进系统误差处理和数据效率提升。

Comments Whitepaper for the FAIR Universe Weak Lensing ML Uncertainty Challenge Competition. More info is available at our GitHub repository https://github.com/FAIR-Universe/Cosmology_Challenge. 13 pages, 5 figures, 1 table

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2509.03472 2026-04-17 cs.LG cs.AI cs.DC

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling

DPQuant: 通过动态量化调度实现高效且差分隐私的模型训练

Yubo Gao, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar

机构 * University of Toronto(多伦多大学)

AI总结 本文提出DPQuant框架,通过动态选择量化层和损失感知优先级,减少量化方差,提升差分隐私训练的精度与效率,实现在低精度硬件上2.21倍的吞吐量提升。

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2604.13870 2026-04-16 math.OC cs.LG

Gradient Descent's Last Iterate is Often (slightly) Suboptimal

梯度下降的最后迭代往往(略)次优

Guy Kornowski, Ohad Shamir

机构 * Weizmann Institute of Science(魏茨曼科学研究所) University of Toronto(多伦多大学)

AI总结 本文研究了使用梯度下降或其随机变体进行凸Lipschitz函数最小化时最后迭代收敛性,证明了在无先验知识的情况下,无法避免在任何时间范围内具有多项对数因子的次优误差。

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2511.11030 2026-04-16 cs.CV cs.AI

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

在正常胸部X光上训练的算法可以预测健康保险类型

Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari, Sebastián Andrés Cajas Ordóñez, Leo Anthony Celi, Deirdre Goode, Hassan Hamidi, Laleh Seyyed-Kalantari, Ned McCague, Thomas Sounack, Po-Chih Kuo

机构 * National Taiwan University Hospital, Taiwan(台湾国立台湾大学医院) University of Toronto, Canada(加拿大多伦多大学) York University, Canada(加拿大约克大学) MIT Critical Data, United States of America(美国MIT Critical Data) Massachusetts Institute of Technology, USA(美国麻省理工学院) Mass General Brigham, USA(美国麻省总医院) Dana-Farber Cancer Institute, USA(美国达纳-法伯癌症研究所)

AI总结 研究显示,通过训练胸部X光图像的深度模型,可预测患者的健康保险类型,揭示社会不平等的隐含特征,挑战医学影像的中立性假设。

Comments Accepted by MIDL 2026

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2410.17976 2026-04-15 stat.CO cs.LG

metasnf: Meta Clustering with Similarity Network Fusion in R

metasnf:基于相似性网络融合的元聚类在R中

Prashanth S Velayudhan, Xiaoqiao Xu, Prajkta Kallurkar, Ana Patricia Balbon, Maria T Secara, Adam Taback, Denise Sabac, Nicholas Chan, Shihao Ma, Bo Wang, Daniel Felsky, Stephanie H Ameis, Brian Cox, Colin Hawco, Lauren Erdman, Anne L Wheeler

机构 * Hospital for Sick Children(Sick Children 医院) University of Toronto(多伦多大学) Centre for Addiction and Mental Health(成瘾与心理健康中心)

AI总结 metasnf包通过元聚类方法,利用相似性网络融合实现高效搜索聚类解,提供可视化、表征和验证功能,帮助研究者发现基于上下文的聚类解。

Comments 66 pages, 26 figures, provisionally accepted at Journal of Statistical Software

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2602.04850 2026-04-15 physics.chem-ph cs.AI cs.MA

El Agente Quntur: A research collaborator agent for quantum chemistry

El Agente Quntur:一种用于量子化学研究的协作代理

Juan B. Pérez-Sánchez, Yunheng Zou, Jorge A. Campos-Gonzalez-Angulo, Marcel Müller, Ignacio Gustin, Andrew Wang, Han Hao, Tsz Wai Ko, Changhyeok Choi, Eric S. Isbrandt, Mohammad Ghazi Vakili, Hanyong Xu, Chris Crebolder, Varinia Bernales, Alán Aspuru-Guzik

机构 * University of Toronto(多伦多大学) Vector Institute for Artificial Intelligence(向量人工智能研究所) Canadian Institute for Advanced Research (CIFAR)(加拿大高级研究 institute) NVIDIA Institute of Medical Science(医学科学研究所)

AI总结 本文提出El Agente Quntur,一种多代理AI系统,旨在通过推理驱动决策和指导深度研究,提升量子化学计算工具的可访问性与实用性。

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2604.11751 2026-04-14 cs.RO cs.AI

Grounded World Model for Semantically Generalizable Planning

基于语义泛化的世界模型用于规划

Quanyi Li, Lan Feng, Haonan Zhang, Wuyang Li, Letian Wang, Alexandre Alahi, Harold Soh

机构 * Independent(独立) EPFL(瑞士联邦理工学院洛桑) Beihang University(北京航空航天大学) University of Toronto(多伦多大学) NUS(新加坡国立大学)

AI总结 本文提出基于视觉-语言对齐潜在空间的世界模型,用于改进视觉-运动模型控制,实现更广泛的语义泛化能力。

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2604.11484 2026-04-14 cs.CV

PACO: Proxy-Task Alignment and Online Calibration for On-the-Fly Category Discovery

PACO:代理任务对齐与在线校准以实现即兴类别发现

Weidong Tang, Bohan Zhang, Zhixiang Chi, ZiZhang Wu, Yang Wang, Yanan Wu

机构 * China Agricultural University(中国农业大学) University of Toronto(多伦多大学) Fudan University(复旦大学) Concordia University(康考迪亚大学)

AI总结 PACO通过动态校准和树状结构决策框架,解决即兴类别发现中类别形成不稳定的问题,无需额外训练即可提升性能。

Comments 16 pages, 6 figures, 7 tables, 1 algorithm

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2602.04849 2026-04-14 physics.chem-ph cs.AI cs.MA

El Agente Estructural: An Artificially Intelligent Molecular Editor

结构代理:一种人工智能分子编辑器

Changhyeok Choi, Yunheng Zou, Marcel Müller, Han Hao, Yeonghun Kang, Juan B. Pérez-Sánchez, Ignacio Gustin, Hanyong Xu, Andrew Wang, Mohammad Ghazi Vakili, Chris Crebolder, Alán Aspuru-Guzik, Varinia Bernales

机构 * University of Toronto(多伦多大学) Acceleration Consortium(加速联盟) Vector Institute for Artificial Intelligence(向量人工智能研究所) Canadian Institute for Advanced Research (CIFAR)(加拿大高等研究院) NVIDIA(英伟达)

AI总结 本文提出El Agente Estructural,一种多模态、自然语言驱动的几何生成与操控代理,用于自主化学和分子建模。该代理通过整合领域知识工具和视觉语言模型,实现对分子结构的精确操控,无需重建核心分子框架。

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2604.10636 2026-04-14 cs.LG

Mitigating Privacy Risk via Forget Set-Free Unlearning

通过遗忘集无关的去学习来缓解隐私风险

Aviraj Newatia, Michael Cooper, Viet Nguyen, Rahul G. Krishnan

机构 * University of Toronto(多伦多大学) Vector Institute(向量研究所)

AI总结 本文提出部分盲去学习方法Reload,通过梯度优化和结构化权重稀疏化有效去除训练数据影响,实验证明其在去学习效率和隐私保护方面优于传统方法。

Comments 50 pages, 20 figures, Published at The Fourteenth International Conference on Learning Representations

Journal ref Proceedings of The Fourteenth International Conference on Learning Representations (ICLR), 2026

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2604.07003 2026-04-14 cs.AI

EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration

EmoMAS:面向高风险边缘部署谈判的基于情感的多智能体系统

Yunbo Long, Yuhan Liu, Liming Xu

机构 * University of Cambridge(剑桥大学) University of Toronto(多伦多大学)

AI总结 本文提出EmoMAS,一种基于贝叶斯协调的多智能体框架,通过融合情感决策模型提升高风险谈判性能,同时在隐私敏感的边缘设备上实现高效部署。

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2406.05358 2026-04-14 cs.LG math.OC

Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management

强化学习用于强度控制:应用于基于选择的网络收益管理

Huiling Meng, Ningyuan Chen, Xuefeng Gao

机构 * Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong(香港中文大学系统工程与工程管理系) Rotman School of Management, University of Toronto(多伦多大学罗特曼管理学院)

AI总结 本文提出一种连续时间强化学习框架用于强度控制,通过基于选择的网络收益管理案例研究,展示其在大规模问题中的高效性和优越性。

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2604.09548 2026-04-14 cs.IR cs.AI

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults

基于检索增强的大型语言模型用于指导老年人使用大麻二酚的证据支持

Ali Abedi, Charlene H. Chu, Shehroz S. Khan

机构 * Lawrence Bloomberg Faculty of Nursing, University of Toronto(多伦多大学劳伦斯·布隆伯格护理学院) KITE Research Institute, Toronto Rehabilitation Institute, University Health Network(大学健康网络多伦多康复研究所KITE研究所) College of Engineering and Technology, American University of the Middle East(中东美国大学工程与技术学院)

AI总结 本文提出一种结合结构化提示工程与大麻二酚证据的检索增强型大型语言模型框架,用于为老年人提供安全指导,同时开发了无标注评估框架以评估AI在敏感健康场景中的可靠性。

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2603.05919 2026-04-14 cs.LG math.ST stat.ML stat.TH

Design Experiments to Compare Multi-armed Bandit Algorithms

设计实验比较多臂老虎机算法

Huiling Meng, Ningyuan Chen, Xuefeng Gao

机构 * Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong(香港中文大学系统工程与工程管理系) Rotman School of Management, University of Toronto(多伦多大学罗特曼管理学院)

AI总结 本文提出Artificial Replay方法,通过重用历史轨迹降低实验成本,提升多臂老虎机算法比较的效率与可靠性。

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2602.05880 2026-04-14 cs.CV

Contour Refinement using Discrete Diffusion in Low Data Regime

利用离散扩散进行低数据环境下的轮廓优化

Fei Yu Guan, Ian Keefe, Sophie Wilkinson, Daniel D. B. Perrakis, Steven Waslander

机构 * University of Toronto(多伦多大学) Simon Fraser University(西蒙弗雷泽大学) Natural Resources Canada(加拿大自然资源部)

AI总结 本文提出轻量离散扩散轮廓优化方法,通过自注意力CNN和条件处理,在低数据环境下实现鲁棒边界检测,提升推理效率3.5倍。

Comments CRV 2026, 8 pages, 6 figures

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2507.11019 2026-04-14 cs.LG

Relative Entropy Pathwise Policy Optimization

相对熵路径策略优化

Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski

机构 * University of Toronto(多伦多大学) Vector Institute(向量研究所) TU Wien(维也纳工业大学) University of Pennsylvania(宾夕法尼亚大学) University of Warsaw(华沙大学) UC Berkeley(加州大学伯克利分校) Polytechnique Montréal(蒙特利尔综合理工学院) Mila – Quebec AI Institute(Mila – 魁北克人工智能研究所)

AI总结 本文提出REPPO算法,通过路径策略梯度结合在线学习,提升训练稳定性与效率,展现优越的样本效率和内存表现。

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2604.08719 2026-04-13 cs.CV cs.AI cs.RO

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving

LMGenDrive: 联合多模态理解与生成世界建模以实现端到端驾驶

Hao Shao, Letian Wang, Yang Zhou, Yuxuan Hu, Zhuofan Zong, Steven L. Waslander, Wei Zhan, Hongsheng Li

机构 * CUHK MMLab(香港中文大学多媒体实验室) University of Toronto(多伦多大学) UC Berkeley(加州大学伯克利分校)

AI总结 本文提出LMGenDrive框架,结合LLM多模态理解与生成世界模型,提升自动驾驶的闭环性能,通过视频预测和控制信号生成,增强时空场景建模和指令遵循能力。

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2602.10603 2026-04-13 cs.LG

dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning

dnaHNet:一种可扩展且分层的基因组序列学习基础模型

Arnav Shah, Junzhe Li, Parsa Idehpour, Adibvafa Fallahpour, Brandon Wang, Sukjun Hwang, Bo Wang, Patrick D. Hsu, Hani Goodarzi, Albert Gu

机构 * University of Toronto(多伦多大学) University of California, San Francisco(加州大学旧金山分校) University of California, Berkeley(加州大学伯克利分校) University of Pennsylvania(宾夕法尼亚大学) Vector Institute(向量研究所) University Health Network(大学健康网络) Arc Institute(Arc研究所) Carnegie Mellon University(卡内基梅隆大学)

AI总结 dnaHNet提出一种无需分词的自回归模型,通过可微的动态分块机制压缩基因组序列,实现高效且可扩展的基因组学习,优于现有模型并在零样本任务中表现优异。

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2603.16570 2026-04-10 cs.CV

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

Face2Scene:利用面部退化作为扩散基于场景恢复的 oracle

Amirhossein Kazerouni, Maitreya Suin, Tristan Aumentado-Armstrong, Sina Honari, Amanpreet Walia, Iqbal Mohomed, Konstantinos G. Derpanis, Babak Taati, Alex Levinshtein

机构 * University of Toronto(多伦多大学) Vector Institute(向量研究所) AI Center–Toronto, Samsung Electronics(三星电子多伦多AI中心) University Health Network(大学健康网络) York University(约克大学)

AI总结 本文提出Face2Scene框架,通过面部作为感知oracle估计退化并指导全图恢复,有效恢复身体和背景。

Comments Accepted at CVPR 2026

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2511.08637 2026-04-10 cs.CY cs.AI cs.CR

How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets

数据所有者如何说不?Web抓取视觉-语言AI训练数据集中的数据同意机制案例研究

Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew, Jamie Morgenstern

机构 * Princeton University(普林斯顿大学) University of Washington(华盛顿大学) Carnegie Mellon University(卡内基梅隆大学) University of Toronto(多伦多大学) Amazon AWS AI/ML(亚马逊AWS AI/ML)

AI总结 研究探讨了数据所有者在AI训练数据集中的同意表达方式,分析了DataComp数据集中样本层面和网络层面的信息,揭示了当前数据收集流程对数据同意的不尊重问题。

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2604.06648 2026-04-09 astro-ph.GA cs.CV

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

欧几里得快速数据发布(Q1)。AgileLens:一种可扩展的基于CNN的强引力透镜识别管道

Euclid Collaboration, X. Xu, R. Chen, T. Li, A. R. Cooray, S. Schuldt, J. A. Acevedo Barroso, D. Stern, D. Scott, M. Meneghetti, G. Despali, J. Chopra, Y. Cao, M. Cheng, J. Buda, J. Zhang, J. Furumizo, R. Valencia, Z. Jiang, C. Tortora, N. E. P. Lines, T. E. Collett, S. Fotopoulou, A. Galan, A. Manjón-García, R. Gavazzi, L. Iwamoto, S. Kruk, M. Millon, P. Nugent, C. Saulder, D. Sluse, J. Wilde, M. Walmsley, F. Courbin, R. B. Metcalf, B. Altieri, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P. Battaglia, R. Bender, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, H. M. Courtois, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, C. Dolding, H. Dole, F. Dubath, X. Dupac, S. Dusini, S. Escoffier, M. Farina, R. Farinelli, S. Farrens, S. Ferriol, F. Finelli, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, W. Gillard, B. Gillis, C. Giocoli, P. Gómez-Alvarez, J. Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, S. Kermiche, A. Kiessling, B. Kubik, M. Kümmel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey, E. Medinaceli, S. Mei, M. Melchior, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S. -M. Niemi, J. W. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, Z. Sakr, D. Sapone, M. Schirmer, P. Schneider, T. Schrabback, A. Secroun, G. Seidel, E. Sihvola, P. Simon, C. Sirignano, G. Sirri, L. Stanco, P. Tallada-Crespí, A. N. Taylor, I. Tereno, N. Tessore, S. Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, J. Valiviita, T. Vassallo, G. Verdoes Kleijn, A. Veropalumbo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, M. Ballardini, M. Bolzonella, C. Burigana, R. Cabanac, M. Calabrese, A. Cappi, T. Castro, J. A. Escartin Vigo, L. Gabarra, S. Hemmati, J. Macias-Perez, R. Maoli, J. Martín-Fleitas, N. Mauri, P. Monaco, A. A. Nucita, A. Pezzotta, M. Pöntinen, I. Risso, V. Scottez, M. Sereno, M. Tenti, M. Tucci, M. Viel, M. Wiesmann, Y. Akrami, I. T. Andika, G. Angora, S. Anselmi, M. Archidiacono, F. Atrio-Barandela, L. Bazzanini, P. Bergamini, D. Bertacca, M. Bethermin, F. Beutler, L. Blot, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, F. Cogato, S. Conseil, O. Cucciati, S. Davini, G. Desprez, A. Díaz-Sánchez, S. Di Domizio, J. M. Diego, P. -A. Duc, V. Duret, M. Y. Elkhashab, A. Enia, Y. Fang, A. Finoguenov, A. Franco, K. Ganga, T. Gasparetto, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, M. Guidi, C. M. Gutierrez, A. Hall, C. Hernández-Monteagudo, H. Hildebrandt, J. Hjorth, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, J. Kim, C. C. Kirkpatrick, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, T. I. Liaudat, S. J. Liu, M. Magliocchetti, E. A. Magnier, F. Mannucci, C. J. A. P. Martins, L. Maurin, M. Miluzio, C. Moretti, G. Morgante, K. Naidoo, A. Navarro-Alsina, S. Nesseris, D. Paoletti, F. Passalacqua, K. Paterson, L. Patrizii, A. Pisani, D. Potter, G. W. Pratt, S. Quai, M. Radovich, K. Rojas, W. Roster, S. Sacquegna, M. Sahlén, D. B. Sanders, E. Sarpa, C. Scarlata, A. Schneider, M. Schultheis, D. Sciotti, E. Sellentin, L. C. Smith, K. Tanidis, C. Tao, F. Tarsitano, G. Testera, R. Teyssier, S. Tosi, A. Troja, A. Venhola, D. Vergani, G. Vernardos, G. Verza, S. Vinciguerra, N. A. Walton, A. H. Wright, H. W. Yeung

机构 * Department of Physics \& Astronomy, University of California Irvine, Irvine CA 92697, USA aff1 University of Southern California, 3551 Trousdale Parkway, Los Angeles, CA 90089, USA aff2 Dipartimento di Fisica "Aldo Pontremoli", Universit\`a degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy aff3 INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy aff4 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA aff5 Department of Physics Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada aff6 INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy aff7 INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy aff8 Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Universit\`a di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy aff9 INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy aff10 Institute of Cosmology Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK aff11 School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK aff12 Max-Planck-Institut f\"ur Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany aff13 Technical University of Munich, TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, 85748 Garching, Germany aff14 Departamento F\'isica Aplicada, Universidad Polit\'ecnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain aff15 Aix-Marseille Universit\'e, CNRS, CNES, LAM, Marseille, France aff16 Institut d'Astrophysique de Paris, UMR 7095, CNRS Sorbonne Universit\'e, 98 bis boulevard Arago, 75014 Paris, France aff17 Center for Astrophysics | Harvard \& Smithsonian, 60 Garden St., Cambridge, MA 02138, USA aff18 ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Ca\ nada, Madrid, Spain aff19 Universit\'e de Gen\`eve, D\'epartement de Physique Th\'eorique Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Gen\`eve 4, Switzerland aff20 Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA aff21 Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany aff22 Universit\"ats-Sternwarte M\"unchen, Fakult\"at f\"ur Physik, Ludwig-Maximilians-Universit\"at M\"unchen, Scheinerstr. 1, 81679 M\"unchen, Germany aff23 STAR Institute, University of Li \`e ge, Quartier Agora, All\'ee du six Ao\ ut 19c, 4000 Li\`ege, Belgium aff24 Institut de Ci\` e ncies del Cosmos (ICCUB), Universitat de Barcelona (IEEC-UB), Mart\' i i Franqu\` e s 1, 08028 Barcelona, Spain aff25 David A. Dunlap Department of Astronomy \& Astrophysics, University of Toronto, 50 St George Street, Toronto, Ontario M5S 3H4, Canada aff26 Jodrell Bank Centre for Astrophysics, Department of Physics Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK aff27 Instituci\'o Catalana de Recerca i Estudis Avan c ats (ICREA), Passeig de Llu\' s Companys 23, 08010 Barcelona, Spain aff28 Institut de Ciencies de l'Espai (IEEC-CSIC), Campus UAB, Carrer de Can Magrans, s/n Cerdanyola del Vall\'es, 08193 Barcelona, Spain aff29 School of Mathematics Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK aff30 INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy aff31 IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy aff32 INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy aff33 INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy aff34 SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy aff35 Dipartimento di Fisica e Astronomia, Universit\`a di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy aff36 INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy aff37 Dipartimento di Fisica, Universit\`a di Genova, Via Dodecaneso 33, 16146, Genova, Italy aff38 INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy aff39 Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy aff40 Dipartimento di Fisica, Universit\`a degli Studi di Torino, Via P. Giuria 1, 10125 Torino, Italy aff41 INFN-Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy aff42 INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese (TO), Italy aff43 INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy aff44 INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy aff45 Centro de Investigaciones Energ\'eticas, Medioambientales y Tecnol\'ogicas (CIEMAT), Avenida Complutense 40, 28040 Madrid, Spain aff46 Port d'Informaci\' o Cient\' i fica, Campus UAB, C. Albareda s/n, 08193 Bellaterra (Barcelona), Spain aff47 Institute for Theoretical Particle Physics Cosmology (TTK), RWTH Aachen University, 52056 Aachen, Germany aff48 Deutsches Zentrum f\"ur Luft- und Raumfahrt e. V. (DLR), Linder H\"ohe, 51147 K\"oln, Germany aff49 INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy aff50 Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Universit\`a di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy aff51 Instituto de Astrof\' sica de Canarias, E-38205 La Laguna, Tenerife, Spain aff52 Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK aff53 European Space Agency/ESRIN, Largo Galileo Galilei 1, 00044 Frascati, Roma, Italy aff54 Universit\'e Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France aff55 UCB Lyon 1, CNRS/IN2P3, IUF, IP2I Lyon, 4 rue Enrico Fermi, 69622 Villeurbanne, France aff56 Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK aff57 Departamento de F\'isica, Faculdade de Ci\ encias, Universidade de Lisboa, Edif\'icio C8, Campo Grande, PT1749-016 Lisboa, Portugal aff58 Instituto de Astrof\'isica e Ci\ encias do Espa c o, Faculdade de Ci\ encias, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal aff59 Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland aff60 Universit\'e Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France aff61 INFN-Padova, Via Marzolo 8, 35131 Padova, Italy aff62 Aix-Marseille Universit\'e, CNRS/IN2P3, CPPM, Marseille, France aff63 INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy aff64 Universit\'e Paris-Saclay, Universit\'e Paris Cit\'e, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France aff65 INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy aff66 Institut d'Estudis Espacials de Catalunya (IEEC), Edifici RDIT, Campus UPC, 08860 Castelldefels, Barcelona, Spain aff67 Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, 08193 Barcelona, Spain aff68 University Observatory, LMU Faculty of Physics, Scheinerstr. 1, 81679 Munich, Germany aff69 FRACTAL S.L.N.E., calle Tulip\'an 2, Portal 13 1A, 28231, Las Rozas de Madrid, Spain aff70 Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway aff71 Felix Hormuth Engineering, Goethestr. 17, 69181 Leimen, Germany aff72 Technical University of Denmark, Elektrovej 327, 2800 Kgs. Lyngby, Denmark aff73 Cosmic Dawn Center (DAWN), Denmark aff74 Max-Planck-Institut f\"ur Astronomie, K\"onigstuhl 17, 69117 Heidelberg, Germany aff75 NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA aff76 Department of Physics Astronomy, University College London, Gower Street, London WC1E 6BT, UK aff77 Department of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland aff78 Helsinki Institute of Physics, Gustaf H \"a llstr \"o min katu 2, University of Helsinki, 00014 Helsinki, Finland aff79 Laboratoire d'etude de l'Univers et des phenomenes eXtremes, Observatoire de Paris, Universit\'e PSL, Sorbonne Universit\'e, CNRS, 92190 Meudon, France aff80 SKAO, Jodrell Bank, Lower Withington, Macclesfield SK11 9FT, UK aff81 Centre de Calcul de l'IN2P3/CNRS, 21 avenue Pierre de Coubertin 69627 Villeurbanne Cedex, France aff82 University of Applied Sciences Arts of Northwestern Switzerland, School of Computer Science, 5210 Windisch, Switzerland aff83 Universit\"at Bonn, Argelander-Institut f\"ur Astronomie, Auf dem H\"ugel 71, 53121 Bonn, Germany aff84 Department of Physics, Institute for Computational Cosmology, Durham University, South Road, Durham, DH1 3LE, UK aff85 Universit\'e Paris Cit\'e, CNRS, Astroparticule et Cosmologie, 75013 Paris, France aff86 CNRS-UCB International Research Laboratory, Centre Pierre Bin\'etruy, IRL2007, CPB-IN2P3, Berkeley, USA aff87 University of Applied Sciences Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland aff88 Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique F\'ed\'erale de Lausanne (EPFL), Observatoire de Sauverny, 1290 Versoix, Switzerland aff89 Telespazio UK S.L. for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff90 Institut de F\' i sica d'Altes Energies (IFAE), The Barcelona Institute of Science Technology, Campus UAB, 08193 Bellaterra (Barcelona), Spain aff91 European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands aff92 School of Mathematics, Statistics Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK aff93 DARK, Niels Bohr Institute, University of Copenhagen, Jagtvej 155, 2200 Copenhagen, Denmark aff94 Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada aff95 Department of Physics Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada aff96 Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada aff97 Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy aff98 Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France aff99 Institute of Space Science, Str. Atomistilor, nr. 409 M a gurele, Ilfov, 077125, Romania aff100 Dipartimento di Fisica e Astronomia "G. Galilei", Universit\`a di Padova, Via Marzolo 8, 35131 Padova, Italy aff101 Instituto de F\'isica Te\'orica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain aff102 Institut de Recherche en Astrophysique et Plan\'etologie (IRAP), Universit\'e de Toulouse, CNRS, UPS, CNES, 14 Av. Edouard Belin, 31400 Toulouse, France aff103 Universit\'e St Joseph Faculty of Sciences, Beirut, Lebanon aff104 Departamento de F\'isica, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, Chile aff105 Universit\"at Innsbruck, Institut f\"ur Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria aff106 Department of Physics Helsinki Institute of Physics, Gustaf H\"allstr\"omin katu 2, University of Helsinki, 00014 Helsinki, Finland aff107 Instituto de Astrof\'isica e Ci\ encias do Espa c o, Faculdade de Ci\ encias, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal aff108 Cosmic Dawn Center (DAWN) aff109 Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark aff110 Universidad Polit\'ecnica de Cartagena, Departamento de Electr\'onica y Tecnolog\'ia de Computadoras, Plaza del Hospital 1, 30202 Cartagena, Spain aff111 Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands aff112 Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA aff113 Dipartimento di Fisica e Scienze della Terra, Universit\`a degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy aff114 Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy aff115 INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy aff116 Astronomical Observatory of the Autonomous Region of the Aosta Valley (OAVdA), Loc. Lignan 39, I-11020, Nus (Aosta Valley), Italy aff117 Universit\'e C\ o te d'Azur, Observatoire de la C\ o te d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France aff118 ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy aff119 Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK aff120 Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France aff121 Dipartimento di Fisica, Sapienza Universit\`a di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy aff122 Aurora Technology for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff123 Dipartimento di Fisica - Sezione di Astronomia, Universit\`a di Trieste, Via Tiepolo 11, 34131 Trieste, Italy aff124 Department of Mathematics Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy aff125 INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy aff126 INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy aff127 Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France aff128 ICL, Junia, Universit\'e Catholique de Lille, LITL, 59000 Lille, France aff129 CERCA/ISO, Department of Physics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA aff130 Laboratoire Univers et Th\'eorie, Observatoire de Paris, Universit\'e PSL, Universit\'e Paris Cit\'e, CNRS, 92190 Meudon, France aff131 INFN-Sezione di Milano, Via Celoria 16, 20133 Milano, Italy aff132 Departamento de F \' sica Fundamental. Universidad de Salamanca. Plaza de la Merced s/n. 37008 Salamanca, Spain aff133 Universit\'e de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France aff134 Center for Data-Driven Discovery, Kavli IPMU (WPI), UTIAS, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan aff135 California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, USA aff136 Instituto de F\'isica de Cantabria, Edificio Juan Jord\'a, Avenida de los Castros, 39005 Santander, Spain aff137 Department of Computer Science, Aalto University, PO Box 15400, Espoo, FI-00 076, Finland aff138 Universidad de La Laguna, Dpto. Astrof\' sica, E-38206 La Laguna, Tenerife, Spain aff139 Ruhr University Bochum, Faculty of Physics Astronomy, Astronomical Institute (AIRUB), German Centre for Cosmological Lensing (GCCL), 44780 Bochum, Germany aff140 Department of Physics Astronomy, Vesilinnantie 5, University of Turku, 20014 Turku, Finland aff141 Finnish Centre for Astronomy with ESO (FINCA), Quantum, Vesilinnantie 5, University of Turku, 20014 Turku, Finland aff142 Serco for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff143 ARC Centre of Excellence for Dark Matter Particle Physics, Melbourne, Australia aff144 Centre for Astrophysics \& Supercomputing, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia aff145 Department of Physics Astronomy, University of the Western Cape, Bellville, Cape Town, 7535, South Africa aff146 Departement of Theoretical Physics, University of Geneva, Switzerland aff147 Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, Durham, DH1 3LE, UK aff148 IRFU, CEA, Universit\'e Paris-Saclay 91191 Gif-sur-Yvette Cedex, France aff149 Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA aff150 INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy aff151 Centro de Astrof\' sica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal aff152 Instituto de Astrof\'isica e Ci\ encias do Espa c o, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal aff153 HE Space for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff154 Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland aff155 INAF - Osservatorio Astronomico d'Abruzzo, Via Maggini, 64100, Teramo, Italy aff156 Theoretical astrophysics, Department of Physics Astronomy, Uppsala University, Box 516, 751 37 Uppsala, Sweden aff157 Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA aff158 Mathematical Institute, University of Leiden, Einsteinweg 55, 2333 CA Leiden, The Netherlands aff159 Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands aff160 Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK aff161 Center for Astrophysics Cosmology, University of Nova Gorica, Nova Gorica, Slovenia aff162 Institute for Particle Physics Astrophysics, Dept. of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland aff163 Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA aff164 Space physics astronomy research unit, University of Oulu, Pentti Kaiteran katu 1, FI-90014 Oulu, Finland aff165 Department of Physics Astronomy, Lehman College of the CUNY, Bronx, NY 10468, USA aff166 American Museum of Natural History, Department of Astrophysics, New York, NY 10024, USA aff167 International Centre for Theoretical Physics (ICTP), Strada Costiera 11, 34151 Trieste, Italy aff168 Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA aff169

AI总结 本文提出了一种基于CNN的高效强引力透镜识别方法,通过迭代优化和数据增强,从欧几里得Q1数据中识别出441个候选系统,其中311个与现有目录重合,130个为新增,方法可扩展至未来数据发布。

Comments 30 pages, 16 figures

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2604.07172 2026-04-09 cs.LG

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling

通过词级温度缩放改进语言模型问答中的语义不确定性量化

Tom A. Lamb, Desi R. Ivanova, Philip H. S. Torr, Tim G. J. Rudner

机构 * University of Oxford(牛津大学) University of Toronto(多伦多大学)

AI总结 本文通过系统评估校准与判别两个方面,提出词级温度缩放方法,有效提升语义校准、判别及下游熵值,优于传统基线和更复杂的重校准方法。

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2504.05995 2026-04-08 cs.CL cs.AI

NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge

NativQA框架:使LLMs和VLMs具备原生、本地和日常知识

Firoj Alam, Md Arid Hasan, Sahinur Rahman Laskar, Mucahid Kutlu, Kareem Darwish, Shammur Absar Chowdhury

机构 * Qatar Computing Research Institute, Qatar(卡塔尔计算研究所) University of Toronto, Canada(多伦多大学) UPES, India(印度UPES大学) Qatar University, Qatar(卡塔尔大学)

AI总结 本文提出NativQA框架,通过整合多模态数据,构建本地化问答数据集,提升不同语言和文化背景下的模型性能。

Comments LLMs, Native, Multilingual, Language Diversity, Contextual Understanding, Minority Languages, Culturally Informed, Foundation Models, Large Language Models

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2604.05355 2026-04-08 cs.AI cs.CL

ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning

ETR:熵趋势奖励用于高效推理链推理

Xuan Xiong, Huan Liu, Li Gu, Zhixiang Chi, Yue Qiu, Yuanhao Yu, Yang Wang

机构 * University of Toronto(多伦多大学) McMaster University(麦克马斯特大学) Concordia University(康考迪亚大学) University of Ottawa(渥太华大学)

AI总结 本文提出ETR,通过轨迹感知的目标促进逐步不确定性降低,提升推理效率与准确性,实验表明在多个基准上显著提升性能。

Comments ACL 2026 (Main)

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2604.05117 2026-04-08 cs.CV cs.AI cs.CL

Watch Before You Answer: Learning from Visually Grounded Post-Training

在回答前观看:从视觉引导的后训练中学习

Yuxuan Zhang, EunJeong Hwang, Huaisong Zhang, Penghui Du, Yiming Jia, Dongfu Jiang, Xuan He, Shenhui Zhang, Ping Nie, Peter West, Kelsey R. Allen

机构 * University of British Columbia(不列颠哥伦比亚大学) Vector Institute(向量研究所) Etude AI Kolors Team, Kuaishou Technology(快手科技Kolors团队) University of Toronto(多伦多大学) University of Waterloo(滑铁卢大学) University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)

AI总结 本文发现现有视频理解基准中40-60%的问题可通过文本线索回答,提出VidGround方法通过仅使用视觉引导问题提升VLM性能,实验显示其在后训练中效果优于复杂方法。

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2604.05070 2026-04-08 cs.AI cs.CV cs.RO

Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation

基于关节和铰链轴估计的部件级3D高斯车辆生成

Shiyao Qian, Yuan Ren, Dongfeng Bai, Bingbing Liu

机构 * University of Toronto(多伦多大学)

AI总结 本文提出生成可动画的3D高斯车辆框架,解决静态生成与可动画车辆模型间的差距,通过部件边 refinement 和运动学推理头预测关节位置和铰链轴。

Comments submitted to IROS 2026

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2604.01591 2026-04-08 cs.AI

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement

ThinkTwice:联合优化大型语言模型以进行推理和自我完善

Difan Jiao, Qianfeng Wen, Blair Yang, Zhenwei Tang, Ashton Anderson

机构 * Department of Computer Science, University of Toronto(多伦多大学计算机科学系) Coolwei AI Lab(Coolwei AI实验室)

AI总结 ThinkTwice通过两阶段框架联合优化LLM,提升推理和自我完善性能,基于GRPO方法,在多个数学推理基准上优于现有基线。

Comments 27 pages,7 figures,5 tables

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