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arXiv research papers — all

All arXiv papers (AI/ML focus) — filter and search by category and year.

2,300 results

PaperCategoryAuthorsDate
Moore, Escher, Penrose: A Conformal Golden Braid ↗ cs.CV 2 Oct 1, 2026
One Basis to Animate Them All: Gaussian Blendshape Distillation... ↗ cs.CV 3 Oct 1, 2026
Sphere Encoder 2 ↗ cs.CV 6 Oct 1, 2026
KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use o... ↗ cs.CL 4 Oct 1, 2026
ROWBench: Do Video Models Render What the Program Specifies? ↗ cs.CV 9 Oct 1, 2026
Reconstruct, Practice, Go Real: Guided Self-Improvement for Embo... ↗ cs.RO 10 Oct 1, 2026
Embedding Prediction Helps Image Generation ↗ cs.CV 5 Oct 1, 2026
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire... ↗ cs.AI 14 Oct 1, 2026
SILSA: Sliding-Window Slice Latents for Topology-Preserving High... ↗ cs.CV 7 Oct 1, 2026
VISTA: A Visual Harness for Reasoning in an Interactive World ↗ cs.AI 5 Oct 1, 2026
TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for... ↗ cs.LG 5 Oct 1, 2026
HiPhy: Hierarchical Alignment for Physically-Plausible Multi-Pri... ↗ cs.CV 5 Oct 1, 2026
FERPO: Forward Entropy-Regularized Policy Optimization ↗ cs.LG 3 Oct 1, 2026
InterEvolve: Test-Time Evolution of Reward Programs for Humanoid... ↗ cs.RO 5 Oct 1, 2026
Hierarchical Continuous Diffusion Language Models ↗ cs.CL 5 Oct 1, 2026
Cost-augmented Schrödinger bridges on graphs are exactly solvabl... ↗ cs.LG 1 Oct 1, 2026
The Missing Primitive: Diagnosing and Repairing Mathematical Rea... ↗ cs.LG 10 Oct 1, 2026
Trust the Direction, Search the Step: Zero-and-First-Order Metho... ↗ cs.LG 3 Oct 1, 2026
Generative modeling of intrinsically disordered protein regions... ↗ cs.LG 10 Oct 1, 2026
DMAD: Distribution Matching as Adversarial Distillation for Fast... ↗ cs.CV 11 Oct 1, 2026
Higher-Order Molecular Grammars for Generative and Foundation Mo... ↗ cs.LG 7 Oct 1, 2026
Decoding Looped Transformers Better for (Almost) Free ↗ cs.LG 8 Oct 1, 2026
SoftServe: A Scalable Quasi-Newton Method for Deep Learning ↗ cs.LG 4 Oct 1, 2026
OmniSeek: Native Tool Integration for Multi-turn Audio-Visual Re... ↗ cs.CV 8 Oct 1, 2026
Generative Cinematographer: Composing Camera and Object Motion i... ↗ cs.CV 7 Oct 1, 2026
From Gradients to Capabilities: Understanding Multi-Teacher On-P... ↗ cs.LG 7 Oct 1, 2026
Effective Resistance and Graph Neural Network Reliability in Tis... ↗ cs.LG 1 Oct 1, 2026
Every Ablation Is a Dose: Counterweights and the Semblance of Se... ↗ cs.LG 3 Oct 1, 2026
Watch, Infer, Coordinate: Inferring Robot Partner Constraints fo... ↗ cs.RO 8 Oct 1, 2026
AutoCompact: Learning When to Compact Context in Long-Horizon Co... ↗ cs.CL 5 Oct 1, 2026
World Observer: Joint Actor-Observer Generation for Persistent W... ↗ cs.CV 7 Oct 1, 2026
DuoMind: Enabling Distributed Multi-Robot Coordination with Sema... ↗ cs.RO 8 Oct 1, 2026
4Director: Controlling Video World Models with Rigid 3D Geometry ↗ cs.CV 8 Oct 1, 2026
When Do Intrinsic Rewards Lead to Exploration? ↗ cs.LG 3 Oct 1, 2026
Muon meets Tamed Langevin: Momentum Preconditioning beyond Conve... ↗ cs.LG 2 Oct 1, 2026
MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressiv... ↗ cs.CV 7 Oct 1, 2026
From Knowledge Access to Source Learning: Developing Source-Spec... ↗ cs.CL 13 Oct 1, 2026
Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense... ↗ cs.CV 5 Oct 1, 2026
Faynt: Scaling and Optimizing Policies for Competitive Melee ↗ cs.LG 4 Oct 1, 2026
Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-... ↗ cs.CL 1 Oct 1, 2026
Finetuning with Sampling: SFT Learns Better Than You Think ↗ cs.LG 3 Oct 1, 2026
MIRTO: a registration-gated, multiverse-tested evaluation protoc... ↗ cs.CV 2 Oct 1, 2026
Linear Programming Representations and Strongly Polynomial Algor... ↗ cs.LG 2 Oct 1, 2026
Spiking neural networks for streaming qubit readout ↗ quant-ph 5 Oct 1, 2026
Sample complexity bounds for categorical Markov random fields vi... ↗ math.ST 2 Oct 1, 2026
Local Support Learning ↗ cs.LG 4 Oct 1, 2026
Harnessing Domain Specialists in Multimodal Mixture-of-Experts f... ↗ cs.CV 5 Oct 1, 2026
Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows ↗ cs.CL 5 Oct 1, 2026
Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs... ↗ cs.CV 5 Oct 1, 2026
A Comparative Explainability Framework for DeBERTa-v3 in Zero-Sh... ↗ cs.AI 5 Oct 1, 2026

Source: official U.S. government open data. This is an organized index, not an official U.S. government site. "Explained" links to our summary page; otherwise links go to the official primary source.

About this dataset

This list holds AI and machine-learning papers posted to arXiv, the preprint server. arXiv is where authors publish manuscripts themselves before peer review, and in this field it is where results typically appear first.

How to read it

  • Preprints are not peer reviewedAppearing on arXiv does not mean anyone has verified the results. The field moves fast enough that preprints are cited widely, but their conclusions should still be read differently from peer-reviewed work.
  • Versions get revisedThe same paper is updated as v1, v2, and so on. When citing or comparing, check which version you are looking at.
  • Categories are author-declaredLabels such as cs.LG (machine learning) or cs.CL (natural language processing) are chosen by the submitter, so work on one topic can span several categories.

FAQ

What is arXiv?
An open repository of preprints in physics, mathematics, computer science, and related fields, operated by Cornell University.
Can preprints be trusted?
They have not been peer reviewed, so the reader has to judge the work. The same research is commonly published later through a peer-reviewed conference or journal.
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