| KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks | Code | Lorenz K. Muller +5 | Jun 2, 2026 | 59 |
| Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables | Code | Masaaki Imaizumi +3 | May 28, 2026 | — |
| MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference | Code | Kexin Chu +2 | May 28, 2026 | — |
| Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields | Code | Julien Lalanne +5 | May 27, 2026 | — |
| Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration | Code | Haonan Wen +2 | May 27, 2026 | — |
| Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions | Code | Matthew Kutakh | May 26, 2026 | — |
| Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models | Code | Inés Gonzalez-Pepe +3 | May 25, 2026 | — |
| Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables | Code | Weizhi Fei +5 | May 25, 2026 | — |
| Adversarial Water-Filling: Theory, Algorithms and Foundation Model | Code | Xindi Tong +2 | May 24, 2026 | — |
| VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation | Code | Yifan Bai +9 | May 21, 2026 | — |
| A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders | Code | Zegu Zhang +2 | May 18, 2026 | — |
| Learning Variable-Length Tokenization for Generative Recommendation | Code | Minhao Wang +2 | May 18, 2026 | — |
| OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization | Code | Zhongzhu Zhou +6 | May 18, 2026 | — |
| GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance | Code | Roman Bresson +4 | May 15, 2026 | — |
| SAFE Quantum Machine Learning with Variational Quantum Classifiers | Code | Ying Chen +3 | May 15, 2026 | — |
| Learning from Language Feedback via Variational Policy Distillation | Code | Yang Li +3 | May 14, 2026 | — |
| Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization | Code | Irene Aldridge | May 13, 2026 | — |
| Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling | Code | Gaurav Rudravaram +19 | May 13, 2026 | — |
| Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation | Code | Lilin Zhang +4 | May 13, 2026 | — |
| Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels | Code | Yusuke Hayashi | May 13, 2026 | — |
| Protocol-Driven Development: Governing Generated Software Through Invariants and Continuous Evidence | Code | Jun He +1 | May 13, 2026 | — |
| REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations | Code | Buyun Liang +8 | May 12, 2026 | — |
| Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling | Code | Thor Klamt +2 | May 12, 2026 | — |
| EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting | Code | Madhurima Panja +4 | May 12, 2026 | — |
| LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows | Code | Jeongchan Kim +2 | May 12, 2026 | — |
| Adversarial SQL Injection Generation with LLM-Based Architectures | Code | Ali Karakoc +1 | May 11, 2026 | — |
| A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting | Code | Pavan Manjunath +1 | May 9, 2026 | — |
| Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative | Code | Sibayan Mitra +1 | May 8, 2026 | — |
| BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis | Code | Guyue Luo +1 | May 7, 2026 | — |
| Streaming Adversarial Robustness in Fuzzy ARTMAP: Mechanism-Aligned Evaluation, Progressive Training, and Interpretable Diagnostics | Code | Shane Cairns +4 | May 7, 2026 | — |