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Princeton University(普林斯顿大学)

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2604.16529 2026-04-22 cs.SE cs.AI cs.CL cs.LG

Scaling Test-Time Compute for Agentic Coding

为代理编程扩展测试时计算

Joongwon Kim, Wannan Yang, Kelvin Niu, Hongming Zhang, Yun Zhu, Eryk Helenowski, Ruan Silva, Zhengxing Chen, Srinivasan Iyer, Manzil Zaheer, Daniel Fried, Hannaneh Hajishirzi, Sanjeev Arora, Gabriel Synnaeve, Ruslan Salakhutdinov, Anirudh Goyal

机构 * Meta Superintelligence Labs(Meta超级智能实验室) University of Washington(华盛顿大学) New York University(纽约大学) Google DeepMind(谷歌DeepMind) Carnegie Mellon University(卡内基梅隆大学) Princeton University(普林斯顿大学)

AI总结 本文提出基于轨迹紧凑表示的代理编程测试时扩展框架,通过递归竞赛投票和并行-蒸馏-细化方法提升长周期代理性能,实验证明在SWE-Bench和Terminal-Bench上显著提升效果。

Comments 70 pages, 26 figures, 12 tables

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2604.03476 2026-04-22 cs.CV cs.AI q-bio.BM

Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition

为分子结构识别微调DeepSeek-OCR-2

Haocheng Tang, Xingyu Dang, Junmei Wang

机构 * Department of Computer Science, Princeton University, Princeton, NJ, USA(普林斯顿大学计算机科学系) School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA(匹兹堡大学药学院) Khoury College of Computer Science, Northeastern University, Boston, MA, USA(东北大学Khoury计算机科学学院) Computational Chemical Genomics Screening Center, University of Pittsburgh, Pittsburgh, PA, USA(匹兹堡大学计算化学基因组筛选中心)

AI总结 本文提出通过图像条件生成SMILES的方法微调DeepSeek-OCR-2,采用分阶段监督微调策略提升稳定性,训练数据结合合成图像和专利图像,模型在精确匹配上表现良好但不如图结构模型。

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2604.18559 2026-04-21 q-bio.BM cs.LG

ConforNets: Latents-Based Conformational Control in OpenFold3

ConforNets: 基于潜在空间的开放Fold3构象控制

Minji Lee, Colin Kalicki, Minkyu Jeon, Aymen Qabel, Alisia Fadini, Mohammed AlQuraishi

机构 * Department of Systems Biology, Columbia University, NY, USA(系统生物学系,哥伦比亚大学,纽约,美国) Department of Computer Science, Columbia University, NY, USA(计算机科学系,哥伦比亚大学,纽约,美国) Department of Computer Science, Princeton University, Princeton, NJ, USA(计算机科学系,普林斯顿大学,普林斯顿,新泽西州,美国)

AI总结 ConforNets通过在AF3架构中对潜在表示进行通道级仿射变换,实现了对构象变化的全局调控,提升了多态本征的生成能力和跨蛋白质家族的构象转移能力。

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2604.16106 2026-04-21 cs.CY cs.AI

Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability

审视人工智能的政治经济学:避免诱饵以实现问责

Janet Vertesi, danah boyd, Alex Taylor, Benjamin Shestakofsky

机构 * Sociology Department(社会学系) Princeton University(普林斯顿大学) Department of Communication(传播学系) Cornell University(康奈尔大学) Institute of Design Informatics(设计信息研究所) University of Edinburgh(爱丁堡大学) Department of Information Science(信息科学系)

AI总结 本文探讨人工智能项目中诱饵对权力与经济的影响,指出需识别诱饵的误导性并直接面对其物质政治经济,以促进更公平的AI发展。

Comments To be presented at ACM FAccT, Montréal, Canada, June 25 to June 28, 2026

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2603.02008 2026-04-21 cs.LG cs.AI

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards

时间表示用于探索:在没有外在奖励的情况下学习复杂探索行为

Faisal Mohamed, Catherine Ji, Benjamin Eysenbach, Glen Berseth

机构 * Mila-Quebec AI Institute(魁北克AI研究所) Université de Montréal(蒙特利尔大学) Princeton University(普林斯顿大学)

AI总结 本文提出一种基于时间对比表示的探索方法,通过优先选择不可预测未来结果的状态,实现复杂探索行为的学习,无需外在奖励。

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2601.00514 2026-04-21 cs.AI cs.CL

The Illusion of Insight in Reasoning Models

推理模型中的“顿悟”幻觉

Liv G. d'Aliberti, Manoel Horta Ribeiro

机构 * Princeton University(普林斯顿大学)

AI总结 研究探讨推理模型在推理过程中是否出现突然的顿悟现象,发现此类现象罕见且不提升准确性,但高不确定性下人工触发可提高性能。

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2511.17774 2026-04-21 cs.RO

Contact-Rich Robotic Assembly in Construction via Diffusion Policy Learning

通过扩散策略学习实现建筑中的接触密集机器人装配

Salma Mozaffari, Daniel Ruan, William van den Bogert, Nima Fazeli, Sigrid Adriaenssens, Arash Adel

机构 * Princeton University(普林斯顿大学) University of Michigan(密歇根大学)

AI总结 本文研究了在建筑施工中使用扩散策略学习提升机器人装配的鲁棒性和精度,通过紧密契合的木构接合作为案例,证明扩散策略能通过接触感知控制补偿对齐误差。

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2502.05075 2026-04-21 cs.LG cs.NA math.NA stat.ML

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension

差异是美德:通过内在维度视角实现弱到强的泛化

Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei

机构 * New York University(纽约大学) Shanghai Jiaotong University(上海交通大学) Princeton University(普林斯顿大学)

AI总结 通过内在低维空间视角分析弱到强泛化,揭示强弱模型差异对泛化误差的正向影响,实验验证了在回归、视觉和NLP任务中的有效性。

Comments ICML 2025

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2604.17147 2026-04-21 cs.CV cs.RO

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation

ScenarioControl: 基于视觉-语言的向量化潜在场景生成

Lili Gao, Yanbo Xu, William Koch, Samuele Ruffino, Luke Rowe, Behdad Chalaki, Dmitriy Rivkin, Julian Ost, Roger Girgis, Mario Bijelic, Felix Heide

机构 * Torc Robotics(Torc机器人公司) Princeton University(普林斯顿大学) Mila

AI总结 ScenarioControl通过视觉-语言控制机制生成多样且真实的3D场景,结合向量化潜在空间和跨全局控制机制,实现对道路布局和交通状况的精细控制,支持长时程驾驶场景延续。

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2604.16403 2026-04-21 cs.AI cs.CY

Computational Hermeneutics: Evaluating generative AI as a cultural technology

计算阐释学:评估生成式AI作为文化技术

Cody Kommers, Ruth Ahnert, Maria Antoniak, Emmanouil Benetos, Steve Benford, Mercedes Bunz, Baptiste Caramiaux, Shauna Concannon, Martin Disley, James Dobson, Yali Du, Edgar Duéñez-Guzmán, Kerry Francksen, Evelyn Gius, Jonathan W. Y. Gray, Ryan Heuser, Sarah Immel, Richard Jean So, Sang Leigh, Dalaki Livingston, Hoyt Long, Meredith Martin, Georgia Meyer, Daniela Mihai, Ashley Noel-Hirst, Kirsten Ostherr, Deven Parker, Yipeng Qin, Jessica Ratcliff, Emily Robinson, Karina Rodriguez, Adam Sobey, Ted Underwood, Aditya Vashistha, Matthew Wilkens, Youyou Wu, Yuan Zheng, Drew Hemment

机构 * The Alan Turing Institute(艾伦·图灵研究所) Queen Mary University of London(伦敦玛丽女王大学) University of Colorado(科罗拉多大学) University of Nottingham(诺丁汉大学) King’s College London(伦敦国王学院) Sorbonne Université(索邦大学) Durham University(杜伦大学) University of Edinburgh(爱丁堡大学) Dartmouth College(达特茅斯学院) Gibran AI(吉布兰人工智能) University of Coventry(科文特大学) Technische Universität Darmstadt(德累斯顿技术大学) University of Cambridge(剑桥大学) McGill University(麦吉尔大学) Cornell University(康奈尔大学) University of Utah(犹他大学) University of Chicago(芝加哥大学) Princeton University(普林斯顿大学) London School of Economics(伦敦经济学院) University of Southampton(南安普顿大学) Rice University(德克萨斯大学稻谷分校) University of Glasgow(格拉斯哥大学) Cardiff University(卡迪夫大学) University of Exeter(埃克塞特大学) University of Brighton(布里斯托尔大学) University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) University College London(伦敦大学学院) University of Sheffield(谢菲尔德大学)

AI总结 本文提出计算阐释学框架,旨在通过阐释学理论评估生成式AI作为文化技术的含义生成与理解挑战。

Comments Published in Frontiers in Artificial Intelligence

Journal ref Front. Artif. Intell. 9:1753041

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2410.15368 2026-04-21 math.OC cs.LG stat.ML

Tighter Performance Theory of FedExProx

FedExProx优化方法的更紧性能理论

Wojciech Anyszka, Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik

机构 * Princeton University(普林斯顿大学) King Abdullah University of Science and Technology(国王阿卜杜勒·阿齐兹大学) AXXX Applied AI Institute(应用人工智能研究所)

AI总结 本文重新审视FedExProx,发现其理论保证不如梯度下降,提出新的分析框架,证明其在非强凸二次问题中具有更紧的线性收敛率,并扩展到满足Polyak-Lojasiewicz条件的一般函数。

Comments 43 pages, 4 figures

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2602.22175 2026-04-17 cs.CL

DySCO: Dynamic Attention-Scaling Decoding for Long-Context Language Models

DySCO:动态注意力缩放解码用于长上下文语言模型

Xi Ye, Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen

机构 * Princeton Language and Intelligence, Princeton University(普林斯顿语言与智能,普林斯顿大学) Department of Computer Science, New York University(纽约大学计算机科学系)

AI总结 DySCO通过动态调整注意力机制提升长上下文推理能力,利用检索头识别关键token并增强其权重,在多个基准测试中取得25%的性能提升。

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2604.14738 2026-04-17 cs.AI

Personalized and Context-Aware Transformer Models for Predicting Post-Intervention Physiological Responses from Wearable Sensor Data

面向个性化和情境感知的Transformer模型:用于预测可穿戴传感器数据后干预的生理反应

Esther Brown, Victoria Dean, Finale Doshi-Velez

机构 * Harvard University(哈佛大学) Princeton University(普林斯顿大学)

AI总结 本文提出基于Transformer的模型,用于预测干预后生理指标的时间轨迹及变化方向,通过结合多时间窗百分比变化和用户标记事件,验证个性化预测的可行性。

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2510.19268 2026-04-16 cs.RO cs.LG

Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-language Models

基于强化学习和上下文视觉-语言模型的分层DLO路由

Mingen Li, Houjian Yu, Yixuan Huang, Youngjin Hong, Hantao Ye, Changhyun Choi

机构 * Department of Electrical and Computer Engineering, University of Minnesota(明尼苏达大学电气与计算机工程系) Princeton University(普林斯顿大学)

AI总结 本文提出了一种自主分层框架,利用视觉-语言模型进行上下文高层推理,结合强化学习训练的低层技能,解决长视距DLO路由任务,实现92%的成功率。

Comments 8 pages, 6 figures, 3 tables

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2604.13305 2026-04-16 cs.CV

Bias at the End of the Score

评分末尾的偏见

Salma Abdel Magid, Grace Guo, Esin Tureci, Amaya Dharmasiri, Vikram V. Ramaswamy, Hanspeter Pfister, Olga Russakovsky

机构 * Princeton University(普林斯顿大学) Harvard University(哈佛大学)

AI总结 研究揭示奖励模型在文本到图像生成中因编码人口偏见导致性别和种族刻板印象强化及多样性崩溃的问题。

Comments Accepted to The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

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2604.13192 2026-04-16 eess.SY cs.RO cs.SY

Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning

通过对抗强化学习合成和部署最大鲁棒控制屏障函数

Donggeon David Oh, Duy P. Nguyen, Haimin Hu, Jaime Fernández Fisac

机构 * Department of Electrical and Computer Engineering, Princeton University(普林斯顿大学电气工程与计算机科学系) Department of Computer Science, Johns Hopkins University(约翰霍普金斯大学计算机科学系)

AI总结 本文提出了一种新的鲁棒控制屏障函数框架,用于一般非线性系统在有界不确定性下的安全控制,结合对抗强化学习实现鲁棒Q-CBF约束,验证了在倒立摆和四足机器人中的有效性。

Comments 8 pages, 2 figures. This work has been submitted to the IEEE for possible publication

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2512.13961 2026-04-15 cs.CL cs.LG

Olmo 3

Olmo 3:先进全开源语言模型家族

Team Olmo, :, Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, Will Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi

机构 * Allen Institute for AI(Allen人工智能研究所) University of Washington(华盛顿大学) Carnegie Mellon University(卡内基梅隆大学) Stanford University(斯坦福大学) Princeton University(普林斯顿大学) Massachusetts Institute of Technology(麻省理工学院) University of Maryland(马里兰大学)

AI总结 Olmo 3是一款7B和32B参数规模的先进语言模型,专注于长上下文推理、函数调用、编程、指令遵循、通用聊天和知识回忆。

Comments minor edit updates

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2510.13521 2026-04-15 physics.plasm-ph cs.AI cs.LG

Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis

狭窄算子模型用于磁约束装置平衡的傅里叶泽尼克基底

Timo Thun, Rory Conlin, Dario Panici, Daniel Böckenhoff

机构 * 1 Max-Planck-Institute for Plasma Physics, 17491 Greifswald, Germany 2 Institute for Research in Electronics \& Applied Physics, University of Maryland, MD 20742, USA 3 Mechanical Aerospace Engineering, Princeton University, NJ 08544, USA

AI总结 本文提出一种基于傅里叶泽尼克基底的狭窄算子模型,用于求解具有固定边界和旋转变换的连续平衡分布,通过优化多层感知机参数来最小化力残差。

Comments 15 pages, 6 figures, 1 table

Journal ref J. Plasma Phys. 92 (2026) E50

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2604.12289 2026-04-15 cs.CY cs.CL

The Enforcement and Feasibility of Hate Speech Moderation on Twitter

推特上仇恨言论管控的执行与可行性

Manuel Tonneau, Dylan Thurgood, Diyi Liu, Niyati Malhotra, Victor Orozco-Olvera, Ralph Schroeder, Scott A. Hale, Manoel Horta Ribeiro, Paul Röttger, Samuel P. Fraiberger

机构 * University of Oxford(牛津大学) University of Copenhagen(哥本哈根大学) World Bank(世界银行) Princeton University(普林斯顿大学)

AI总结 研究通过全球审计揭示推特仇恨言论管控的执行情况,发现仇恨言论在平台上持续存在,且去除率与非仇恨言论无显著差异,表明技术限制外还有制度因素影响管控效果。

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2604.12151 2026-04-15 cs.LG cond-mat.dis-nn cond-mat.stat-mech

Distinct mechanisms underlying in-context learning in transformers

transformers中不同机制 underlying in-context learning

Cole Gibson, Wenping Cui, Gautam Reddy

机构 * Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA(整合基因组学研究所,普林斯顿大学,新泽西州普林斯顿,08544,美国) Department of Physics, Princeton University, Princeton, NJ 08544, USA(物理学系,普林斯顿大学,新泽西州普林斯顿,08544,美国)

AI总结 研究揭示transformers在in-context learning中通过不同机制实现记忆与泛化,基于数据多样性K确定相变边界。

Comments 46 pages, 19 figures

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2604.11035 2026-04-14 cs.AI

Introspective Diffusion Language Models

反思式扩散语言模型

Yifan Yu, Yuqing Jian, Junxiong Wang, Zhongzhu Zhou, Donglin Zhuang, Xinyu Fang, Sri Yanamandra, Xiaoxia Wu, Qingyang Wu, Shuaiwen Leon Song, Tri Dao, Ben Athiwaratkun, James Zou, Fan Lai, Chenfeng Xu

机构 * Together AI University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) The University of Texas at Austin(德克萨斯大学奥斯汀分校) Princeton University(普林斯顿大学) Stanford University(斯坦福大学)

AI总结 本文提出反思式扩散语言模型,通过引入反思性解码算法,在保持并行解码的同时继承自回归训练的反思一致性,实现了与同规模自回归模型相当的质量并优于先前扩散模型。

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2604.10718 2026-04-14 cs.AI

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?

SciPredict: LLMs能否预测自然科学中的实验结果?

Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie, Shayan Shabihi, Erich Liang, Andrea Toledo, Guillermo Mangialardi, Sergio Fonrouge, Ed-Yeremai Hernandez Cardona, Paula Vergara, Utkarsh Tyagi, Chen Bo Calvin Zhang, Pavi Bhatter, Nicholas Johnson, Furong Huang, Ernesto Gabriel Hernandez Montoya, Bing Liu

机构 * Scale AI University of California, Los Angeles(加州大学洛杉矶分校) University of Maryland(马里兰大学) Princeton University(普林斯顿大学) Human Frontier Collective(人类前沿集体)

AI总结 SciPredict通过405个实验任务评估LLM预测科学实验结果的准确性,发现模型表现低于人类专家,且无法区分可靠与不可靠的预测。

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2512.24503 2026-04-14 cs.LG cs.AI

Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice

小规模训练能否可靠地指导数据整理?重新审视代理模型实践

Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal

机构 * Princeton University(普林斯顿大学) Tsinghua University(清华大学) UC Berkeley(加州大学伯克利分校) Stanford University(斯坦福大学) Virginia Tech(弗吉尼亚理工大学)

AI总结 本文探讨了小规模代理模型训练在数据整理中的可靠性问题,指出固定配置协议与全规模模型开发流程的差异,并提出通过降低学习率提升小规模实验的可靠性。

Comments ICLR 2026

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2406.09588 2026-04-14 cs.CV cs.LG

Learning Color Equivariant Representations

学习颜色等变表示

Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette

机构 * Princeton University(普林斯顿大学) University of Oxford(牛津大学)

AI总结 本文提出颜色等变图卷积神经网络,解决颜色变化下的等变问题,通过提升等变性并扩展到饱和度和亮度变化,提升模型泛化能力和样本效率。

Comments Accept to The 13th International Conference on Learning Representations (ICLR 2025)

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2604.10016 2026-04-14 astro-ph.SR cs.LG

Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network

利用SDO/HMI磁图和混合神经网络预测日冕物质抛射与日闪的关系

Jialiang Li, Vasyl Yurchyshyn, Jason T. L. Wang, Haimin Wang, Manolis K. Georgoulis, Wen He, Yasser Abduallah, Hameedullah A. Farooki, Yan Xu

机构 * Institute for Space Weather Sciences, New Jersey Institute of Technology(新泽西理工学院空间天气科学研究所) Department of Computer Science, New Jersey Institute of Technology(新泽西理工学院计算机科学系) Big Bear Solar Observatory, New Jersey Institute of Technology(新泽西理工学院大熊太阳天文台) Center for Solar-Terrestrial Research, New Jersey Institute of Technology(新泽西理工学院日地研究中心) Johns Hopkins University Applied Physics Laboratory(约翰霍普金斯大学应用物理实验室) Research Center for Astronomy and Applied Mathematics, Academy of Athens(雅典学院天文学与应用数学研究中心) Department of Astrophysical Sciences, Princeton University(普林斯顿大学天体物理科学系)

AI总结 本文提出一种混合神经网络方法,结合视觉Transformer和LSTM,利用SDO/HMI磁图时间序列预测日闪与日冕物质抛射关联性,验证了方法有效性并发现磁通量抵消可能触发相关日冕物质抛射。

Comments 14 pages, 8 figures

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2604.09531 2026-04-13 cs.CV cs.AI cs.CL

VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

VisionFoundry: 通过合成图像教授VLMs的视觉感知

Guanyu Zhou, Yida Yin, Wenhao Chai, Shengbang Tong, Xingyu Fu, Zhuang Liu

机构 * Princeton University(普林斯顿大学) New York University(纽约大学)

AI总结 本文提出VisionFoundry,通过任务关键词生成合成数据,提升VLMs在空间理解和视角识别等视觉感知任务上的性能,构建了包含10k图像-问题-答案三元组的VQA数据集,并在多个基准测试中取得显著提升。

Comments Project Page: https://zlab-princeton.github.io/VisionFoundry/

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2604.07725 2026-04-13 cs.AI cs.CL

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution

Squeeze Evolve:无验证者演化的统一多模型协调

Monishwaran Maheswaran, Leon Lakhani, Zhongzhu Zhou, Shijia Yang, Junxiong Wang, Coleman Hooper, Yuezhou Hu, Rishabh Tiwari, Jue Wang, Harman Singh, Qingyang Wu, Yuqing Jian, Ce Zhang, Kurt Keutzer, Tri Dao, Xiaoxia Wu, Ben Athiwaratkun, James Zou, Chenfeng Xu

机构 * UC Berkeley(加州大学伯克利分校) UT Austin(德克萨斯大学奥斯汀分校) Stanford University(斯坦福大学) Princeton University(普林斯顿大学) Together AI

AI总结 本文提出Squeeze Evolve框架,通过动态分配模型能力提升无验证者演化的多样性与效率,实验证明其在多个基准测试中显著降低成本并提升性能。

Comments 40 Pages, Project Page: https://squeeze-evolve.github.io/

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2604.07569 2026-04-10 cs.LG cs.AI cs.CL cs.IT math.IT

Learning is Forgetting: LLM Training As Lossy Compression

学习是遗忘:LLM训练作为有损压缩

Henry C. Conklin, Tom Hosking, Tan Yi-Chern, Julian Gold, Jonathan D. Cohen, Thomas L. Griffiths, Max Bartolo, Seraphina Goldfarb-Tarrant

机构 * Princeton University(普林斯顿大学) Cohere

AI总结 本文提出LLM训练可视为有损压缩过程,通过保留训练数据中与目标相关的信息,揭示模型表示结构与下游性能的联系。

Comments 12 page core paper, 16 page Appendix - A shorter version with fewer visuals appears at ICLR 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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