Alignment and Safety papers, 2023–2026

Key findings

• Alignment and Safety went from 438 papers in 2023 to 1,882 in 2026, roughly 4.3x in three years.
• NeurIPS publishes the most Alignment and Safety work: 1,421 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Social aspects · safety: papers tagged with both rose from 0 in 2023 to 137 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
• ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
• ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
• NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
• ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
• ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
• CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
• NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
• ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
• ICLR 2024A unique M-pattern for micro-expression spotting in long videos
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
• ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
• CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
• NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
• ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
• ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
• CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment

All Alignment and Safety papers

101 papers, page 1 of 3

1. ICML 2023A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
2. ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
3. ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
4. ICML 2023A Study on Transformer Configuration and Training Objective
5. ICML 2023A Theoretical Analysis of the Learning Dynamics under Class Imbalance
6. ICML 2023abess: A Fast Best-Subset Selection Library in Python and R
7. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
8. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
9. ICML 2023Aligning Language Models with Preferences through $f$-divergence Minimization
10. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
11. ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
12. ICML 2023Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
13. ICML 2023Bandit Online Linear Optimization with Hints and Queries
14. ICML 2023Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
15. ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
16. ICML 2023Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
17. ICML 2023Constrained Phi-Equilibria
18. ICML 2023Contextual Conservative Interleaving Bandits
19. ICML 2023Contextual Reliability: When Different Features Matter in Different Contexts
20. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
21. ICML 2023Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
22. ICML 2023Cut your Losses with Squentropy
23. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
24. ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
25. ICML 2023DUET: 2D Structured and Approximately Equivariant Representations
26. ICML 2023EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression
27. ICML 2023Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
28. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
29. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
30. ICML 2023Explainable Data-Driven Optimization: From Context to Decision and Back Again
31. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
32. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
33. ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
34. ICML 2023Federated Online and Bandit Convex Optimization
35. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise
36. ICML 2023Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
37. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
38. ICML 2023Graph Neural Networks with Learnable and Optimal Polynomial Bases
39. ICML 2023High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
40. ICML 2023How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
41. ICML 2023Implicit Jacobian regularization weighted with impurity of probability output
42. ICML 2023Incentivizing Exploration with Linear Contexts and Combinatorial Actions
43. ICML 2023Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
44. ICML 2023Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
45. ICML 2023Learning Mixtures of Markov Chains and MDPs
46. ICML 2023Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
47. ICML 2023Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
48. ICML 2023Meta Optimal Transport
49. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
50. ICML 2023Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals

FAQ

How many Alignment and Safety papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

4,558 in total: 438 in 2023, 875 in 2024, 1,363 in 2025, 1,882 in 2026.

How many Alignment and Safety papers are at NeurIPS 2026?

NeurIPS 2026 has 480 Alignment and Safety papers, versus 455 the year before.

How many Alignment and Safety papers are at ICLR 2026?

ICLR 2026 has 623 Alignment and Safety papers, versus 473 the year before.

How many Alignment and Safety papers are at ICML 2026?

ICML 2026 has 551 Alignment and Safety papers, versus 300 the year before.

How many Alignment and Safety papers are at CVPR 2026?

CVPR 2026 has 228 Alignment and Safety papers, versus 135 the year before.

Which conference publishes the most Alignment and Safety papers?

NeurIPS, with 1,421 papers from 2023 to 2026.