Key papers

• ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU (2026)
  Fan Jiang et al.
  17.73
• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  12.23
• Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning (2026)
  Junyao Yang et al.
  11.77
• Discrete Diffusion Models: A Unified Framework from Tokenization to Generation (2026)
  Ye Yuan et al.
  10.48
• Loop the Loopies! (2026)
  Zitian Gao et al.
  10.03
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  9.11
• Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning (2026)
  Jian Hu et al.
  9.11
• H$^2$SD: Hybrid Hindsight Self-Distillation (2026)
  Qiye Cai et al.
  8.24
• DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations (2026)
  Jiazhen Jiang et al.
  6.95
• A Controlled Study of Attention-Only Transformers (2026)
  Henry Ndubuaku et al.
  5.96
• An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning (2026)
  Maximilian Dax et al.
  5.89
• Nanbeige4.2-3B: Unlocking Agentic Capabilities in a Compact Mode (2026)
  Nanbeige Lab et al.
  5.88
• On the Fragility of Majority Illusions (2026)
  Maaike Venema-Los et al.
  5.49
• Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification (2026)
  Yeonhong Kim et al.
  5.01
• Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data (2026)
  Vin\'icius Gabriel Angelozzi et al.
  5.01
• Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)
  QIan Cheng et al.
  5.01
• Decoupled Pipeline with Proposal Reranking and Score Fusion for Positive-Unlabeled Marine Species Detection (2026)
  Robert James Brock et al.
  5.01
• Predictive single cell foundation model for gene regulation and aging with privacy-preserving tabular learning (2026)
  Jiayuan Ding et al.
  5.01
• Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning (2026)
  Julian G. Soltes
  5.01
• Prior laundering: learned priors with inherited, undetectable overconfidence (2026)
  Ali Siahkoohi et al.
  5.01
• Smart predict-then-robustly-optimize (2026)
  Aakil Caunhye et al.
  5.01
• From Seasonality to Semantics: Benchmarking a Hybrid Probabilistic Forecasting System for Roadblocks in Bolivia (2026)
  Rodrigo Vargas Sainz et al.
  5.01
• Longitudinal Random Forests for Sparse and Irregular Response Trajectories (2026)
  Yangsheng Wang et al.
  5.01
• Simulation-Based Empirical Bayes (2026)
  Xinwei Shen et al.
  5.01
• Efficient Online LLM Watermark Detection via Rao-Blackwellized E-Processes (2026)
  Lu Luo et al.
  5.01
• Benchmarking Fine-tuning and Retrieval Strategies for a Multimodal Language Model on the NRC Reactor Operator Licensing Examination (2026)
  Isak Hwang et al.
  5.01
• FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts (2026)
  Yunan Zhang et al.
  5.01
• dRAE: Representation Autoencoder with Hyper-Spherical Codes (2026)
  Tianren Ma et al.
  5.01
• Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforcement Learning (2026)
  Guanqun Zhao et al.
  5.01
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  5.01
• Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders (2026)
  Gregorio de la Fuente et al.
  5.01
• CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education (2026)
  Manuel Alonso-Carracedo (Universidade de Vigo et al.
  4.39
• Multi-Label Node Classification with Label Influence Propagation (2026)
  Yifei Sun et al.
  4.39
• Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance (2026)
  Vinicius Herique Kieling et al.
  4.39
• Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search (2026)
  Binglin Ji et al.
  4.39
• Fourier Neural Operators for Rayleigh-B\'enard Convection (2026)
  Chelsea Maria John et al.
  4.39
• AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis (2026)
  Humasak Tommy Argo Simanjuntak et al.
  4.39
• D2PO: Optimizing Diffusion Samplers via Dynamic Preference (2026)
  Jinkyu Kim et al.
  4.39
• At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics (2026)
  Truong Xuan Khanh
  4.39
• The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model? (2026)
  Donna Vakalis
  4.39
• Dual Attention Heads for Personalized Federated Learning in ECG Classification (2026)
  Kien Le et al.
  4.39
• Trees from Marginals: Autoregressive drafting with factorized priors (2026)
  Yuma Oda et al.
  4.39
• Ad Headline Generation using Self-Critical Masked Language Model (2026)
  Yashal Shakti Kanungo et al.
  4.39
• A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong (2026)
  Nima Kelidari et al.
  4.39
• Geometric Self-Distillation for Reasoning Generalization (2026)
  Josip Juki\'c et al.
  4.39
• EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI (2026)
  Hao Kong et al.
  4.39
• UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma (2026)
  Chongyu Fan et al.
  4.39
• Multiplication Beyond Groups: Stratified Fourier Mechanisms in Transformer Circuits (2026)
  Zitong Andrew Chen et al.
  4.39
• Prior-matched evaluation of operational Earth-observation classifiers: a three-number reporting method demonstrated on Sentinel-1 internal-wave detection (2026)
  Joao Pinelo et al.
  4.39
• The Anatomy of Implicit Bias: Information Allocation in Neural Network Training (2026)
  Zhang Gongyue et al.
  4.39
• Nonlinear Bandit (2026)
  Tianshuo Zheng et al.
  4.39
• Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning (2026)
  Pranav Sawant et al.
  4.39
• The Optimal Sample Complexity of Learning Autoregressive Chain-of-Thought (2026)
  Zhiyuan Li
  4.39
• Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design (2026)
  Rebecca M. Crossley et al.
  4.39
• PALS: Percentile-Aware Layerwise Sparsity for LLM Pruning (2026)
  Yazdan Jamshidi et al.
  4.39
• Guidance Breaks the Fitted Operator: A Terminal-Fitted Repair for Classifier-Free Guidance (2026)
  Shiheng Zhang
  4.39
• Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale (2026)
  Grzegorz Brzezinka
  4.39
• Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF (2026)
  Eric Zhu et al.
  4.39
• Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning (2026)
  Daniel Vila-Cruz et al.
  4.39
• Targeted Recovery of Weight-Space Mechanisms From Neural Networks (2026)
  Antoine Vigouroux et al.
  4.39