| Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates | Safety & alignment | Paiheng Xu +2 | Jun 2, 2026 | 5 |
| Causal Interventions on Continuous Variables: A Case Study on Verb Bias in Steering Vectors for In-Context Learning | Safety & alignment | Zhenghao Herbert Zhou +2 | May 28, 2026 | — |
| Harnessing non-adversarial robustness in large language models | Safety & alignment | Qinghua Zhou +8 | May 28, 2026 | — |
| SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing | Safety & alignment | Almene De Meran Meguimtsop +2 | May 28, 2026 | — |
| Quantum-Enhanced Adversarial Robustness in Artificial Intelligence | Safety & alignment | Jaydip Sen | May 27, 2026 | — |
| Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling | Safety & alignment | Yiding Liu +7 | May 26, 2026 | — |
| Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem | Safety & alignment | Bei Qiao +1 | May 26, 2026 | — |
| Near-Optimal Regret in Adversarial Kernel Bandits | Safety & alignment | Yu-Jie Zhang +3 | May 26, 2026 | — |
| Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection | Safety & alignment | Lixing Lin +6 | May 24, 2026 | — |
| Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation | Safety & alignment | Luoyu Chen +7 | May 23, 2026 | — |
| DRInQ: Evaluating Conversational Implicature with Controlled Context Variation | Safety & alignment | Hirona Jacqueline Arai +1 | May 22, 2026 | — |
| Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction | Safety & alignment | Siqi Li +11 | May 22, 2026 | — |
| Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays | Safety & alignment | Ting Hu +2 | May 22, 2026 | — |
| Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution | Safety & alignment | Hongbo Wang +5 | May 22, 2026 | — |
| Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series | Safety & alignment | Xianhao Song +4 | May 21, 2026 | — |
| Toward Understanding Adversarial Distillation: Why Robust Teachers Fail | Safety & alignment | Hongsin Lee +1 | May 21, 2026 | — |
| Causal Discovery in Structural VAR Models Under Equal Noise Variance | Safety & alignment | SeyedSina Seyedi HasanAbadi +3 | May 21, 2026 | — |
| Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction | Safety & alignment | Tilman Tröster +3 | May 20, 2026 | — |
| Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift | Safety & alignment | Jinzong Dong +2 | May 20, 2026 | — |
| Towards Context-Invariant Safety Alignment for Large Language Models | Safety & alignment | Yixu Wang +6 | May 20, 2026 | — |
| Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery | Safety & alignment | Paulina Hoyos +7 | May 19, 2026 | — |
| Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions | Safety & alignment | Ali Mahdavi +3 | May 19, 2026 | — |
| Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts | Safety & alignment | Jiaxiao Xu +3 | May 18, 2026 | — |
| Building Reliable Arithmetic Multipliers Under NBTI Aging and Process Variations | Safety & alignment | Masoud Heidary +1 | May 18, 2026 | — |
| Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series | Safety & alignment | Andrea Morandi | May 17, 2026 | — |
| KG-ASG: Collision-Knowledge-Guided Closed-Loop Adversarial Scenario Generation With Primary-Support Attribution | Safety & alignment | Cheng Wang +4 | May 17, 2026 | — |
| Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift | Safety & alignment | Paulo Akira F. Enabe | May 17, 2026 | — |
| Adversarial Fragility and Language Vulnerability in Clinical AI: A Systematic Audit of Diagnostic Collapse Under Imperceptible Perturbations and Cross-Lingual Drift in Low-Resource Healthcare Settings | Safety & alignment | Anthonio Oladimeji Gabriel +1 | May 16, 2026 | — |
| FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation | Safety & alignment | Ramakrishnan Sathyavageeswaran | May 16, 2026 | — |
| When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective | Safety & alignment | Yuan-dong Cao +3 | May 15, 2026 | — |
| Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation | Safety & alignment | Zhankun Luo +5 | May 14, 2026 | — |
| Road Maps as Free Geometric Priors: Weather-Invariant Drone Geo-Localization with GeoFuse | Safety & alignment | Yunsong Fang +2 | May 14, 2026 | — |
| Fast Adversarial Attacks with Gradient Prediction | Safety & alignment | Kamil Ciosek +3 | May 14, 2026 | — |
| Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation | Safety & alignment | Runlong Xie +1 | May 13, 2026 | — |
| Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates | Safety & alignment | Patryk Rygiel +4 | May 12, 2026 | — |
| Bin Latent Transformer (BiLT): A shift-invariant autoencoder for calibration-free spectral unmixing of turbid media | Safety & alignment | Martin Hohmann | May 12, 2026 | — |
| Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation | Safety & alignment | Cristian Morasso +3 | May 12, 2026 | — |
| Variational Inference for Lévy Process-Driven SDEs via Neural Tilting | Safety & alignment | Yaman Kindap +4 | May 11, 2026 | — |
| Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography | Safety & alignment | Isao Kurosawa | May 11, 2026 | — |
| Quantum Circuit Simulation of Compartmental Drug Dynamics: Leveraging Variational Algorithms for Nonlinear Mixed-Effects Population Pharmacokinetics | Safety & alignment | Isshaan Singh +1 | May 10, 2026 | — |
| KL for a KL: On-Policy Distillation with Control Variate Baseline | Safety & alignment | Minjae Oh +4 | May 8, 2026 | — |
| Disagreement-Regularized Importance Sampling for Adversarial Label Corruption | Safety & alignment | Csongor Horváth +2 | May 8, 2026 | — |
| GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations | Safety & alignment | Jyotika Singh +13 | May 8, 2026 | — |
| Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management | Safety & alignment | Davide Rindori | May 7, 2026 | — |
| Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning | Safety & alignment | Masahiro Kato | May 7, 2026 | — |
| Eliciting associations between clinical variables from LLMs via comparison questions across populations | Safety & alignment | Fabian Kabus +5 | May 7, 2026 | — |
| Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation | Safety & alignment | Huizi Cui +4 | May 7, 2026 | — |
| Information Theoretic Adversarial Training of Large Language Models | Safety & alignment | Yiwei Zhang +5 | May 6, 2026 | — |
| Covariance-Aware Goodness for Scalable Forward-Forward Learning | Safety & alignment | Xiaoyi Jiang +2 | May 5, 2026 | — |
| Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms | Safety & alignment | Abhishek Sadhu +1 | May 5, 2026 | — |
| WinoGrande: An Adversarial Winograd Schema Challenge at Scale | Safety & alignment | Keisuke Sakaguchi +3 | Jul 24, 2019 | — |