Artificial Intelligence & Machine Learning

Core AI/ML methods, models, and techniques

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530,750Articles

Articles published on Artificial Intelligence & Machine Learning

530,750 results

6 Mar 2026|arxiv:2603.04134

InstMeter: An Instruction-Level Method to Predict Energy and Latency of DL Model Inference on MCUs

Hao Liu; Qing Wang; Marco Zuniga2026·arXiv Preprint

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20 Mar 2026|arxiv:2603.17357

WebPII: Benchmarking Visual PII Detection for Computer-Use Agents

Nathan Zhao2026·arXiv Preprint

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6 Mar 2026|arxiv:2603.03825

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo; Chufan Shi; Yizhen Zhang; Cheng Yang; Songtao Jiang; Tongkun Guan; Ruizhe Chen; Ruihang Chu; Peng Wang; Mingkun Yang; Yujiu Yang; Junyang Lin; Zhibo Yang2026·arXiv Preprint

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14 Mar 2026|arxiv:2603.11907

Causal Representation Learning with Optimal Compression under Complex Treatments

Wanting Liang; Haoang Chi; Zhiheng Zhang2026·arXiv Preprint

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14 Mar 2026|arxiv:2603.00676

K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control

Zhe Wu; Donglin Mo; Hongjin Lu; Junliang Xing; Jianheng Liu; Yuheng Jing; Kai Li; Kun Shao; Jianye Hao; Yuanchun Shi2026·arXiv Preprint

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14 Jan 2026|arxiv:2601.08584

Ministral 3

Alexander H. Liu; Kartik Khandelwal; Sandeep Subramanian; Victor Jouault; Abhinav Rastogi; Adrien Sadé; Alan Jeffares; Albert Jiang; Alexandre Cahill; Alexandre Gavaudan; Alexandre Sablayrolles; Amélie Héliou; Amos You; Andy Ehrenberg; Andy Lo; Anton Eliseev; Antonia Calvi; Avinash Sooriyarachchi; Baptiste Bout; Baptiste Rozière; Baudouin De Monicault; Clémence Lanfranchi; Corentin Barreau; Cyprien Courtot; Daniele Grattarola; Darius Dabert; Diego de las Casas; Elliot Chane-Sane; Faruk Ahmed; Gabrielle Berrada; Gaëtan Ecrepont; Gauthier Guinet; Georgii Novikov; Guillaume Kunsch; Guillaume Lample; Guillaume Martin; Gunshi Gupta; Jan Ludziejewski; Jason Rute; Joachim Studnia; Jonas Amar; Joséphine Delas; Josselin Somerville Roberts; Karmesh Yadav; Khyathi Chandu; Kush Jain; Laurence Aitchison; Laurent Fainsin; Léonard Blier; Lingxiao Zhao; Louis Martin; Lucile Saulnier; Luyu Gao; Maarten Buyl; Margaret Jennings; Marie Pellat; Mark Prins; Mathieu Poirée; Mathilde Guillaumin; Matthieu Dinot; Matthieu Futeral; Maxime Darrin; Maximilian Augustin; Mia Chiquier; Michel Schimpf; Nathan Grinsztajn; Neha Gupta; Nikhil Raghuraman; Olivier Bousquet; Olivier Duchenne; Patricia Wang; Patrick von Platen; Paul Jacob; Paul Wambergue; Paula Kurylowicz; Pavankumar Reddy Muddireddy; Philomène Chagniot; Pierre Stock; Pravesh Agrawal; Quentin Torroba; Romain Sauvestre; Roman Soletskyi; Rupert Menneer; Sagar Vaze; Samuel Barry; Sanchit Gandhi; Siddhant Waghjale; Siddharth Gandhi; Soham Ghosh; Srijan Mishra; Sumukh Aithal; Szymon Antoniak; Teven Le Scao; Théo Cachet; Theo Simon Sorg; Thibaut Lavril; Thiziri Nait Saada; Thomas Chabal; Thomas Foubert; Thomas Robert; Thomas Wang; Tim Lawson; Tom Bewley; Tom Bewley; Tom Edwards; Umar Jamil; Umberto Tomasini; Valeriia Nemychnikova; Van Phung; Vincent Maladière; Virgile Richard; Wassim Bouaziz; Wen-Ding Li; William Marshall; Xinghui Li; Xinyu Yang; Yassine El Ouahidi; Yihan Wang; Yunhao Tang; Zaccharie Ramzi2026·arXiv Preprint

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11 Mar 2026|arxiv:2603.00152

Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design

Haoxiang Sun; Tao Wang; Chenwei Tang; Li Yuan; Jiancheng Lv2026·arXiv Preprint

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19 Mar 2026|arxiv:2603.16789

Conservative Continuous-Time Treatment Optimization

Nora Schneider; Georg Manten; Niki Kilbertus2026·arXiv Preprint

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10 Mar 2026|arxiv:2603.05622

Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening

Lei Tong; Xujing Yao; Adam Corrigan; Long Chen; Navin Rathna Kumar; Kerry Hallbrook; Jonathan Orme; Yinhai Wang; Huiyu Zhou2026·arXiv Preprint

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28 Mar 2026|arxiv:2603.24652

Demystifying When Pruning Works via Representation Hierarchies

Shwai He; Guoheng Sun; Haichao Zhang; Yun Fu; Ang Li2026·arXiv Preprint

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7 Mar 2026|arxiv:2603.04972

Functionality-Oriented LLM Merging on the Fisher--Rao Manifold

Jiayu Wang; Zuojun Ye; Wenpeng Yin2026·arXiv Preprint

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30 Jan 2026|arxiv:2601.20800

Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces

Kaito Baba; Yoshihiko Ozaki; Shuhei Watanabe2026·arXiv Preprint

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6 Mar 2026|arxiv:2603.04180

Architectural Proprioception in State Space Models: Thermodynamic Training Induces Anticipatory Halt Detection

Jay Noon2026·arXiv Preprint

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15 Mar 2026|arxiv:2603.01204

Subliminal Signals in Preference Labels

Isotta Magistrali; Frédéric Berdoz; Sam Dauncey; Roger Wattenhofer2026·arXiv Preprint

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7 Jan 2026|arxiv:2601.01410

Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems

Sunki Hong; Jisoo Lee2026·arXiv Preprint

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18 Feb 2026|arxiv:2602.14367

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

Shuofei Qiao; Yunxiang Wei; Xuehai Wang; Bin Wu; Boyang Xue; Ningyu Zhang; Hossein A. Rahmani; Yanshan Wang; Qiang Zhang; Keyan Ding; Jeff Z. Pan; Huajun Chen; Emine Yilmaz2026·arXiv Preprint

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29 Jan 2026|arxiv:2601.19394

DSP-Reg: Domain-Sensitive Parameter Regularization for Robust Domain Generalization

Xudong Han; Senkang Hu; Yihang Tao; Yu Guo; Philip Birch; Sam Tak Wu Kwong; Yuguang Fang2026·arXiv Preprint

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22 Jan 2026|arxiv:2601.13731

Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition

Rui-Juan Jing; Yuegang Zhao; Changbo Chen2026·arXiv Preprint

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28 Feb 2026|arxiv:2602.22552

Relatron: Automating Relational Machine Learning over Relational Databases

Zhikai Chen; Han Xie; Jian Zhang; Jiliang Tang; Xiang Song; Huzefa Rangwala2026·arXiv Preprint