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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.

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  1. "Train classical, deploy quantum" requires rethinking generalization taaft Generative models have become central across science and industry, from image and text synthesis to… 2026-08-31 published
  2. (Mis)Understanding Benign Overfitting in Equity Return Prediction taaft Highly overparameterized models often predict well despite interpolating training data in complex d… 2026-08-24 published
  3. (V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement taaft Language models learn about grammatical number primarily from co-occurrence, and show frequency eff… 2026-08-31 published
  4. </think> Doesn't Stop Reasoning: Analysis of Spurious CoT Termination taaft Chain-of-thought (CoT) reasoning improves large reasoning models (LRMs) on complex tasks but often… 2026-09-03 published
  5. 3D Gaussian Splatting for Real-Time Radiance Field Rendering Mercedes-Benz Research & Development Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with mu… 2023-08-08 published
  6. 3D MRI-Based Alzheimer's Disease Classification Using Multi-Modal 3D CNN with Leakage-Aware Subject-Level Evaluation taaft Deep learning has become an important tool for Alzheimer's disease (AD) classification from structu… 2026-03-18 published
  7. 3D-LLM: Injecting the 3D World into Large Language Models taaft Large language models (LLMs) and Vision-Language Models (VLMs) have been proven to excel at multipl… 2023-07-24 published
  8. 3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model taaft Creating dynamic, view-consistent videos of customized subjects is highly sought after for a wide r… 2026-03-19 published
  9. 4DGS-WAM: Bridging Past and Future with an Object-Centric World Action Model based on 4D Gaussian Splatting taaft Current world action models (WAMs) typically operate on 2D visual data. These models can achieve ex… 2026-08-26 published
  10. 4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video taaft We introduce 4DGS360, a diffusion-free framework for 360$^{\circ}$ dynamic object reconstruction fr… 2026-03-23 published
  11. 4DStreamCtrl: Interactive Video Generation with Online 4D Control taaft Generative video models now synthesize footage nearly indistinguishable from reality. Their promise… 2026-08-26 published
  12. 4DSynth: Controllable Procedural World Synthesis for Dynamic Embodied Simulation taaft Embodied agents need environments that are visually diverse, physically interactive, and changing o… 2026-08-27 published
  13. A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift taaft Foundation models, specifically Large Language Models (LLMs), have lately gained wide-spread attent… 2023-11-21 published
  14. A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios taaft Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supporti… 2026-09-01 published
  15. A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors taaft Modern AI agent harnesses expose lifecycle hooks that bind shell commands to runtime events such as… 2026-09-03 published
  16. A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification taaft DNA sequence classification requires not only high predictive accuracy but also the ability to unco… 2026-03-27 published
  17. A Borel Concept Class of VC Dimension One with a Non-PAC Consistent Learner in ZFC taaft The fundamental theorem of statistical learning states that, under suitable measurability assumptio… 2026-08-31 published
  18. A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction taaft Feed-forward 3D reconstruction models output a per-pixel confidence that is used by downstream syst… 2026-08-30 published
  19. A Careful Examination of Large Language Model Performance on Grade School Arithmetic taaft Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical r… 2024-05-01 published
  20. A Catalog of Basque Dialectal Resources: Online Collections and Standard-to-Dialectal Adaptations taaft Recent research on dialectal NLP has identified data scarcity as a primary limitation. To address t… 2026-03-26 published
  21. A Closed-Form Formula for Consistent Lipschitz Regression on Metric Spaces with Sparse Neural Network Realizations taaft Several classical machine-learning methods, such as KRRs and SVRs, are both computationally and ana… 2026-09-02 published
  22. A Closed-Loop Evaluation of Capability Loss and Recovery in Compressed Driving Policies taaft Many automobile and mobility companies deploy learned driving policies on embedded computers with l… 2026-09-01 published
  23. A Common Measure of Communication for Speech Brain-Computer Interfaces taaft Speech brain-computer interfaces (speech BCIs) translate neural activity into language, offering a… 2026-09-02 published
  24. A comparative performance analysis of live clinical triage using rules-based triage protocols versus artificial intelligence-based automated virtual triage Infermedica A head-to-head vignette study comparing AI-based virtual triage against rules-based telephonic tria… Infermedica
  25. A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edit taaft Counterfactual explanations for graph-structured data seek to determine minimal and realistic modif… 2026-09-04 published
  26. A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN taaft Graph construction is a critical but underexamined design choice in deep reinforcement learning for… 2026-09-02 published
  27. A Composition-Aware Pretraining Framework for Geospatial Foundation Models taaft Geospatial foundation models have emerged as state-of-the-art methods for downstream Earth observat… 2026-08-31 published
  28. A comprehensive and trustworthy benchmark of AI methods for change detection in Earth observation taaft Change detection in Earth observation (EO) is critical for monitoring land surface transformations,… 2026-08-28 published
  29. A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications taaft Large language model (LLM)-based agents that reason, plan, and act through tools, memory, and struc… 2026-05-08 published
  30. A computational approach to maximum likelihood thresholds for colored Gaussian graphical models taaft Gaussian graphical models (GGMs) are essential tools for interpretable structure learning. However,… 2026-09-02 published
  31. A Computational Comparison of Fourier Spectral Differentiation and Spatial Automatic Differentiation in Periodic Physics-Informed Neural Networks taaft Physics-informed neural networks (PINNs) commonly evaluate the spatial derivatives appearing in par… 2026-09-02 published
  32. A Controlled Audit of Architectural Complexity in Uncertainty-Aware Multi-Organ Ultrasound Classification taaft Multi-organ ultrasound classifiers increasingly combine attention, mixture-of-experts routing, unce… 2026-08-28 published
  33. A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems taaft In this paper, we present a novel variational plug-and-play algorithm for Poisson inverse problems.… 2026-03-25 published
  34. A convolutional framework for detecting event-driven dynamics in energy price series taaft This paper develops a general convolutional neural network (CNN) framework for detecting heterogene… 2026-08-31 published
  35. A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark taaft Natural-language-to-SQL systems have ad- vanced rapidly on academic benchmarks, yet production ente… 2026-09-04 published
  36. A Data-dependent Early Stopping Rule using Rademacher Complexity with L1-norm taaft Training neural networks requires balancing the trade-off between fitting the training data and ach… 2026-08-25 published