arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

University of Oxford(牛津大学)

共收录 1445
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)

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.10114 2026-04-14 cs.CL cs.AI

CircuitSynth: Reliable Synthetic Data Generation

CircuitSynth:可靠的合成数据生成

Zehua Cheng, Wei Dai, Jiahao Sun, Thomas Lukasiewicz

机构 * University of Oxford(牛津大学) TU Wien(维也纳工业大学)

AI总结 CircuitSynth提出了一种新的神经符号框架,通过将语义推理与表层实现解耦,结合概率句法决策图和凸优化机制,实现高保真合成数据生成,确保逻辑约束和分布目标。

Comments 11 Pages

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09721 2026-04-14 cs.IR cs.MM cs.SD

Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering

Jamendo-MT-QA:多轨比较音乐问答基准测试

Junyoung Koh, Jaeyun Lee, Soo Yong Kim, Gyu Hyeong Choi, Jung In Koh, Jordan Phillips, Yeonjin Lee, Min Song

机构 * Yonsei University(延世大学) KRAFTON University of Oxford(牛津大学) George Mason University(乔治梅森大学) Sungkyul University(圣洁大学) MODULABS MAAP Onoma AI

AI总结 本文提出Jamendo-MT-QA基准测试,用于评估多轨比较音乐问答能力,基于Jamendo-QA数据集构建36519个比较问答项,采用LLM辅助生成和过滤问题,并通过自动指标和LLM-as-a-Judge评估模型性能。

Comments ACL 2026 Findings

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09466 2026-04-13 cs.CL

Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities

跨分析层次:解释人类预测处理需要的不仅仅是机器估计的概率

Sathvik Nair, Colin Phillips

机构 * University of Maryland Department of Linguistics(马里兰大学语言学系) Oxford University Faculty of Linguistics, Philology and Phonetics(牛津大学语言学、语文学与语音学系)

AI总结 本文批判并扩展了关于语言模型和语言处理的两个主张,探讨了预测未来语言信息的重要性以及大规模语言模型对心理语言学的影响,并提出结合LLMs与心理语言学模型的未来方向。

Comments 9 pages, Behavioral & Brain Sciences Commentary on Futrell & Mahowald (forthcoming)

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09370 2026-04-13 q-bio.QM cs.CV

Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images

先聚类后标注:一种自动化流程用于组织全切片图像的分割和形态学聚类

Muhammad Haseeb Ahmad, Sharmila Rajendran, Damion Young, Jon Mason

机构 * University of Oxford(牛津大学)

AI总结 本文提出一种自动化流程,通过先聚类后标注的方法,减少对全切片图像中大量结构的手动标注工作,实现高精度的组织成分分割和形态学聚类。

Comments 7 pages, 4 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09331 2026-04-13 cs.LG cs.SY eess.SY

Stability Enhanced Gaussian Process Variational Autoencoders

提升稳定性的一般化过程变分自编码器

Carl R. Richardson, Jichen Zhang, Ethan King, Ján Drgoňa

机构 * University of Oxford(牛津大学) Pacific Northwest National Laboratory(太平洋西北国家实验室) Johns Hopkins University(约翰霍普金斯大学)

AI总结 本文提出SEGP-VAE,通过高维视频数据间接训练低维线性时不变系统,利用概率与可解释物理模型结合的方法,通过半收缩系统参数限制提升训练稳定性。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09208 2026-04-13 stat.ML cs.LG

A Predictive View on Streaming Hidden Markov Models

流式隐马尔可夫模型的预测视角

Gerardo Duran-Martin

机构 * Oxford-Man Institute, University of Oxford(牛津大学牛津曼研究所)

AI总结 本文提出一种预测优先的优化框架,用于流式隐马尔可夫模型,通过在线学习预测模型参数,在固定转移先验下实现准确的步进预测分布。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.09200 2026-04-13 cs.CY cs.AI cs.HC

Artificial intelligence can persuade people to take political actions

人工智能可以说服人们采取政治行动

Kobi Hackenburg, Luke Hewitt, Caroline Wagner, Ben M. Tappin, Christopher Summerfield

机构 * University of Oxford(牛津大学) UK AI Security Institute(英国人工智能安全研究所) Stanford University(斯坦福大学) London School of Economics and Political Science(伦敦政治经济学院)

AI总结 研究探讨了人工智能对实际政治行为的说服效果,发现AI在推动请愿和捐款等行为上有显著影响,但态度与行为无相关性,且信息提供驱动态度变化而非行为。

Comments 13 pages, 4 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.08863 2026-04-13 cs.AI

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations

隐于 plain sight:从场可视化中推断视觉到符号的解析解

Pengze Li, Jiaquan Zhang, Yunbo Long, Xinping Liu, Zhou wenjie, Encheng Su, Zihang Zeng, Jiaqi Liu, Jiyao Liu, Junchi Yu, Lihao Liu, Philip Torr, Shixiang Tang, Aoran Wang, Xi Chen

机构 * Fudan University, China(复旦大学) Shanghai Artificial Intelligence Laboratory, China(上海人工智能实验室) University of Cambridge, UK(剑桥大学) Nankai University, China(南开大学) University of Oxford, UK(牛津大学)

AI总结 本文研究了从二维线性稳态场的可视化中推断视觉到符号的解析解,提出ViSA-R2模型并发布ViSA-Bench基准,通过结构模式识别和物理学家路径验证,实现高精度符号表达推断。

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.23199 2026-04-13 cs.CV

FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation

FDIF:基于隐函数的公式驱动监督学习用于3D医学图像分割

Yukinori Yamamoto, Kazuya Nishimura, Tsukasa Fukusato, Hirokazu Nosato, Tetsuya Ogata, Hirokatsu Kataoka

机构 * Waseda University(早稻田大学) The University of Osaka(大阪大学) National Institute of Advanced Industrial Science and Technology(国立研究开发法人产业技术综合研究所) University of Oxford(牛津大学)

AI总结 FDIF通过隐函数实现无需真实数据的3D医学图像分割预训练,提升几何表达能力与纹理合成效果,优于公式驱动方法并接近自监督方法。

详情

展开后加载摘要…

URL PDF HTML 收藏
2512.09665 2026-04-10 cs.CV cs.CY cs.LG

OxEnsemble: Fair Ensembles for Low-Data Classification

OxEnsemble:低数据分类中的公平集成

Jonathan Rystrøm, Zihao Fu, Chris Russell

机构 * Oxford Internet Institute, University of Oxford(牛津大学牛津互联网研究所) The Chinese University of Hong Kong(香港中文大学)

AI总结 针对数据稀缺且各群体数据不平衡的公平分类问题,OxEnsemble通过高效训练集成模型并强制公平性,在医学影像等场景中实现更一致的性能和更好的公平性-准确性权衡。

Comments Forthcoming @ MIDL 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.07872 2026-04-10 cs.NE cs.AI

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems

PyVRP$^+$:基于LLM的元认知启发式进化方法用于车辆路径问题中的混合遗传搜索

Manuj Malik, Jianan Zhou, Shashank Reddy Chirra, Zhiguang Cao

机构 * Singapore Management University(新加坡管理大学) Nanyang Technological University(南洋理工大学) University of Oxford(牛津大学)

AI总结 本文提出PyVRP$^+$,通过LLM驱动的元认知启发式进化方法改进混合遗传搜索算法,发现更高效的启发式策略,提升VRP问题的求解性能。

Comments 18 pages, accepted to the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.07429 2026-04-10 cs.CV cs.AI cs.HC

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents

GameWorld: 向标准化和可验证的多模态游戏代理评估迈进

Mingyu Ouyang, Siyuan Hu, Kevin Qinghong Lin, Hwee Tou Ng, Mike Zheng Shou

机构 * National University of Singapore(新加坡国立大学) University of Oxford(牛津大学)

AI总结 GameWorld提出一个标准化且可验证的多模态游戏代理评估基准,包含34种游戏和170个任务,通过可验证的指标评估代理能力,揭示了当前代理在视频游戏中与人类能力的差距。

Comments 23 pages, 8 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2512.15920 2026-04-10 cs.LG astro-ph.IM cs.NE physics.comp-ph physics.data-an

Introduction to Symbolic Regression in the Physical Sciences

符号回归在物理科学中的介绍

Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira, Gabriel Kronberger

机构 * Astrophysics, University of Oxford(牛津大学天体物理学系) Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria(上奥地利应用科学大学启发式与进化算法实验室)

AI总结 本文介绍符号回归在物理科学中的应用,涵盖自动方程发现、涌现现象建模和高效模拟的紧凑替代模型。讨论了方法论、挑战及未来方向。

Comments 8 pages, no figures; accepted in Royal Society Philosophical Transactions A special issue "Symbolic regression in the physical sciences"

Journal ref Philos Trans A Math Phys Eng Sci 9 April 2026; 384 (2317): 20240600

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.23073 2026-04-10 astro-ph.CO astro-ph.GA astro-ph.IM cs.LG

Constraining dark matter halo profiles with symbolic regression

用符号回归约束暗物质晕轮廓

Alicia Martín, Tariq Yasin, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira

机构 * Astrophysics, University of Oxford(牛津大学天体物理学系)

AI总结 本文用符号回归方法从观测数据约束暗物质晕密度轮廓,测试了在不同误差和样本量下模型选择的鲁棒性。

Comments 18 pages, 5 figures. Accepted for publication in Philosophical Transactions of the Royal Society A

Journal ref Philos Trans A Math Phys Eng Sci (2026) 384 (2317): 20250090

详情

展开后加载摘要…

URL PDF HTML 收藏
2510.18749 2026-04-10 astro-ph.CO astro-ph.IM cs.LG cs.NE

Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision

符号模拟在宇宙学中的应用:在不牺牲精度的情况下加速宇宙学分析

Deaglan J. Bartlett, Shivam Pandey

机构 * Astrophysics, University of Oxford(牛津大学天体物理学) IAP(巴黎天体物理研究所) Department of Physics and Astronomy, Johns Hopkins University(约翰霍普金斯大学物理与天文学系)

AI总结 本文提出符号模拟方法,用于加速宇宙学分析,通过提高计算效率和内存使用,实现与传统数值方法一致的精度。

Comments 22 pages, 6 figures. Invited contribution for the Royal Society Philosophical Transactions A special issue "Symbolic regression in the physical sciences"

Journal ref Philos Trans A Math Phys Eng Sci (2026) 384 (2317): 20240585

详情

展开后加载摘要…

URL PDF HTML 收藏
2412.15922 2026-04-10 cs.LG cs.SD eess.AS

RiTTA: Modeling Event Relations in Text-to-Audio Generation

RiTTA:文本到音频生成中的事件关系建模

Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet

机构 * Microsoft Research(微软研究院) Microsoft(微软) CVSSP, University of Surrey, UK(英国萨里大学视觉语音与信号处理中心) CS Department, University of Oxford, UK(英国牛津大学计算机科学系)

AI总结 本文系统研究文本到音频生成中事件关系建模,构建了包含所有潜在关系的语料库,并提出新评估指标和微调框架以提升模型对音频事件关系的建模能力。

Comments EMNLP25, Project Site: https://yuhanghe01.github.io/RiTTA-Proj/. Code: https://github.com/yuhanghe01/RiTTA

详情

展开后加载摘要…

URL PDF HTML 收藏
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

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.06366 2026-04-09 cs.LG stat.ML

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks

深度线性网络中鞍点到鞍点区域的随机梯度下降

Guillaume Corlouer, Avi Semler, Alexander Strang, Alexander Gietelink Oldenziel

机构 * Moirai University of Oxford(牛津大学) University of California, Berkeley(加州大学伯克利分校) Iliad

AI总结 研究深度线性网络中随机梯度下降在鞍点到鞍点区域的动力学,推导出各模式下的随机微分方程分解,并分析SGD噪声对特征学习的影响。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.06268 2026-04-09 cs.LG

RAGEN-2: Reasoning Collapse in Agentic RL

RAGEN-2:代理强化学习中的推理崩溃

Zihan Wang, Chi Gui, Xing Jin, Qineng Wang, Licheng Liu, Kangrui Wang, Shiqi Chen, Linjie Li, Zhengyuan Yang, Pingyue Zhang, Yiping Lu, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

机构 * Northwestern University(西北大学) UIUC(伊利诺伊大学厄巴纳-香槟分校) Independent(独立研究者) Imperial College London(伦敦帝国学院) Oxford University(牛津大学) University of Washington(华盛顿大学) Microsoft(微软) Stanford University(斯坦福大学)

AI总结 研究发现代理强化学习中推理稳定性受模板崩溃影响,通过引入互信息代理提升推理质量与任务表现。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.06263 2026-04-09 cs.GT cs.AI cs.IR cs.LG

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models

面向激励的多保真度优化用于大语言模型生成广告

Jiayuan Liu, Barry Wang, Jiarui Gan, Tonghan Wang, Leon Xie, Mingyu Guo, Vincent Conitzer

机构 * Carnegie Mellon University(卡内基梅隆大学) Adelaide University(阿德莱德大学) University of Oxford(牛津大学) Harvard University(哈佛大学)

AI总结 本文提出IAMFM框架,结合VCG激励与多保真度优化,解决生成广告中广告商策略行为和高成本的约束问题,通过主动反事实优化提升计算效率,实验表明其在不同预算下优于单保真度基线。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.06192 2026-04-09 cs.CL cs.AI cs.IT cs.LG math.IT

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?

逐步信息性假设:为什么在大语言模型中熵动态与推理相关?

Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, George D. Montañez, Pietro Liò

机构 * University of Cambridge(剑桥大学) University of Oxford(牛津大学) Harvey Mudd College(哈维穆德学院)

AI总结 本文探讨了大语言模型中熵动态与推理正确性相关的原因,提出逐步信息性假设,并通过实验验证其在多个基准和模型中的有效性。

Comments 21 pages, 5 figures, 3 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.03815 2026-04-09 cs.LG cs.AI

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS

Jonas De Schouwer, Haitz Sáez de Ocáriz Borde, Xiaowen Dong

机构 * Stanford University(斯坦福大学) University of Oxford(牛津大学)

Comments Accepted at the ICLR 2026 GRaM Workshop. 9 pages, 9 figures, 16 tables; 30 pages of supplementary material

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.16005 2026-04-09 cs.RO cs.AI

ODYN: An All-Shifted Non-Interior-Point Method for Quadratic Programming in Robotics and AI

ODYN:一种用于机器人和人工智能中二次规划的全位移非内点法

Jose Rojas, Aristotelis Papatheodorou, Sergi Martinez, Andrea Patrizi, Ioannis Havoutis, Carlos Mastalli

机构 * Heriot-Watt University(赫瑞瓦特大学) University of Oxford(牛津大学) Italian Institute of Technology(意大利技术研究院)

AI总结 ODYN是一种全新的全位移对偶非内点二次规划求解器,能高效处理密集和稀疏二次规划问题,通过结合全位移非线性互补问题函数与近端乘子法,解决病态和退化问题,具备强大的热启动性能,适用于通用优化及机器人和人工智能应用。

Comments 20 pages, 12 figures, under-review

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.09987 2026-04-09 cs.LG cs.AI cs.CY

Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions

Infusion: 通过影响函数编辑训练数据来塑造模型行为

J Rosser, Robert Kirk, Edward Grefenstette, Jakob Foerster, Laura Ruis

机构 * FLAIR, University of Oxford(牛津大学FLAIR) UK AI Security Institute(英国人工智能安全研究所) AI Centre, UCL(伦敦大学学院人工智能中心) MIT CSAIL(麻省理工学院计算机科学与人工智能实验室)

AI总结 Infusion通过影响函数近似计算训练数据的微小扰动,以诱导模型行为的针对性变化。在CIFAR-10上,仅对0.2%的训练数据进行细微编辑即可与基线方法竞争,且在不同架构间具有迁移性。

Comments 10 pages, 14 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.07298 2026-04-09 cs.CV cs.AI eess.IV

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

区域图最优传输路由用于专家混合的全滑片图像分类

Xin Tian, Jiuliu Lu, Ephraim Tsalik, Bart Wanders, Colleen Knoth, Julian Knight

机构 * Centre for Human Genetics, University of Oxford(牛津大学人类遗传学中心) Beckman Coulter Diagnostics(贝克曼库尔特诊断公司) Danaher Corporation(丹纳赫公司)

AI总结 本文提出ROAM方法,通过区域图最优传输实现平衡的专家利用,提升全滑片图像分类性能。

Comments 10 pages, 2 figures, 2 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.07233 2026-04-09 cs.LG cs.CC

How Does Machine Learning Manage Complexity?

机器学习如何管理复杂性?

Lance Fortnow

机构 * Illinois Institute of Technology(伊利诺伊理工学院) Magdalen College, University of Oxford(牛津大学莫德林学院)

AI总结 本文从计算复杂性角度探讨机器学习模型处理复杂系统的能力,提出通过概率管理复杂性,并证明学习可计算分布能有效逼近均匀分布。

Comments 16 pages, no figures

详情

展开后加载摘要…

URL PDF HTML 收藏
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。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.05544 2026-04-08 cs.RO cs.CV

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation

面向指引用的视觉-运动策略学习用于闭环操作

Jiahua Ma, Yiran Qin, Xin Wen, Yixiong Li, Yuyu Sun, Yulan Guo, Liang Lin, Ruimao Zhang

机构 * Sun Yat-sen University(中山大学) Oxford University(牛津大学)

AI总结 本文提出ReV框架,通过整合稀疏指引用点实现动态轨迹重规划,无需额外数据即可提升机器人操作的鲁棒性。

详情

展开后加载摘要…

URL PDF HTML 收藏
2604.05484 2026-04-08 cs.RO cs.CV

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment

CoEnv:通过组合环境驱动具身体验多智能体协作

Li Kang, Yutao Fan, Rui Li, Heng Zhou, Yiran Qin, Zhemeng Zhang, Songtao Huang, Xiufeng Song, Zaibin Zhang, Bruno N. Y. Chen, Zhenfei Yin, Dongzhan Zhou, Wangmeng Zuo, Lei Bai

机构 * Shanghai Jiao Tong University(上海交通大学) Shanghai AI Laboratory(上海人工智能实验室) Harbin Institute of Technology(哈尔滨工业大学) University of Science and Technology of China(中国科学技术大学) CUHK-Shenzhen(香港中文大学(深圳)) Fudan University(复旦大学) Dalian University of Technology(大连理工大学) Carnegie Mellon University(卡内基梅隆大学) University of Oxford(牛津大学)

AI总结 本文提出CoEnv框架,通过模拟与现实结合的组合环境,实现多智能体协作的高效执行与安全部署,提升任务成功率和效率。

Comments 31 pages, 8 figures, including supplementary material. Project page: https://faceong.github.io/CoEnv/

详情

展开后加载摘要…

URL PDF HTML 收藏