Artificial Intelligence & Machine Learning

Core AI/ML methods, models, and techniques

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22 Mar 2026|arxiv:2603.07514

A Unified View of Score-Based and Drifting Models

Chieh-Hsin Lai; Bac Nguyen; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Yuki Mitsufuji; Stefano Ermon; Molei Tao2026·arXiv Preprint

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30 Jan 2026|arxiv:2601.11669

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning

Wenwen Liao; Hang Ruan; Jianbo Yu; Xiaofeng Yang; Qingchao Jiang; Xuefeng Yan2026·arXiv Preprint

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11 Feb 2026|arxiv:2602.08030

Free(): Learning to Forget in Malloc-Only Reasoning Models

Yilun Zheng; Dongyang Ma; Tian Liang; Jiahao Xu; Xinting Huang; Lihui Chen; Haitao Mi; Yan Wang2026·arXiv Preprint

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2 Apr 2026|10.21608/mklse.2026.476321

Mechanisms of International Judicial Cooperation and Remote Trials in Transnational Cases

- محمد احمد زكريا شحاته2026·Maǧallaẗ Ḥuqūq Ḥilwān Lil Dirāsāt Al-Qānūniyyaẗ wa Al-Iqtiṣādiyyaẗ

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14 Mar 2026|arxiv:2603.11304

Worst-case low-rank approximations

Anya Fries; Markus Reichstein; David Blei; Jonas Peters2026·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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26 Feb 2026|arxiv:2602.20502

ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory

Hongbin Zhong; Fazle Faisal; Luis França; Tanakorn Leesatapornwongsa; Adriana Szekeres; Kexin Rong; Suman Nath2026·arXiv Preprint

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5 Mar 2026|arxiv:2603.02649

HomeAdam: Adam and AdamW Algorithms Sometimes Go Home to Obtain Better Provable Generalization

Feihu Huang; Guanyi Zhang; Songcan Chen2026·arXiv Preprint

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13 Feb 2026|arxiv:2602.10675

TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning

Junhua Liu; Zhangcheng Wang; Zhike Han; Ningli Wang; Guotao Liang; Kun Kuang2026·arXiv Preprint

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9 Jan 2026|arxiv:2601.05002

On the Hidden Objective Biases of Group-based Reinforcement Learning

Aleksandar Fontana; Marco Simoni; Giulio Rossolini; Andrea Saracino; Paolo Mori2026·arXiv Preprint

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27 Jan 2026|arxiv:2601.16425

Bayesian Experimental Design for Model Discrepancy Calibration: A Rivalry between Kullback--Leibler Divergence and Wasserstein Distance

Huchen Yang; Xinghao Dong; Jin-Long Wu2026·arXiv Preprint

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6 Jan 2026|arxiv:2601.00641

Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs

Nils Rautenberg; Sven Schippkus2026·arXiv Preprint

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13 Feb 2026|arxiv:2601.23066

Towards Explicit Acoustic Evidence Perception in Audio LLMs for Speech Deepfake Detection

Xiaoxuan Guo; Yuankun Xie; Haonan Cheng; Jiayi Zhou; Jian Liu; Hengyan Huang; Long Ye; Qin Zhang2026·arXiv Preprint

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8 Jan 2026|10.1038/s41585-025-01118-3

Och AI the noo from SIU.

Lloyd; Louise2026·Nature reviews. Urology

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14 Mar 2026|arxiv:2603.00462

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

Zhaolin Yu; Litao Yang; Ben Babicka; Ming Hu; Jing Hao; Anthony Huang; James Huang; Yueming Jin; Jiasong Wu; Zongyuan Ge2026·arXiv Preprint

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21 Feb 2026|arxiv:2602.17386

Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval

Adrià Molina; Oriol Ramos Terrades; Josep Lladós2026·arXiv Preprint

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6 Mar 2026|arxiv:2603.03945

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs

Mathilde Perez; Raphaël Romero; Jefrey Lijffijt; Charlotte Laclau2026·arXiv Preprint

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9 Jan 2026|arxiv:2601.04891

Scaling Vision Language Models for Pharmaceutical Long Form Video Reasoning on Industrial GenAI Platform

Suyash Mishra; Qiang Li; Srikanth Patil; Satyanarayan Pati; Baddu Narendra2026·arXiv Preprint

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15 Feb 2026|arxiv:2602.01206

Addressing Explainability of Generative AI using SMILE (Statistical Model-agnostic Interpretability with Local Explanations)

Zeinab Dehghani2026·arXiv Preprint

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3 Mar 2026|arxiv:2602.23934

Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans

Jingwen Wang; Johannes Kirschner; Paul Rolland; Luis Salamanca; Stefana Parascho2026·arXiv Preprint

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