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

438 papers, page 6 of 9

251. ICML 2023Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
252. ICML 2023Nonparametric Iterative Machine Teaching
253. ICML 2023On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
254. ICML 2023On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
255. ICML 2023On Preemption and Learning in Stochastic Scheduling
256. ICML 2023On Regularization and Inference with Label Constraints
257. ICML 2023On the Functional Similarity of Robust and Non-Robust Neural Representations
258. ICML 2023On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
259. ICML 2023Online Prototype Alignment for Few-shot Policy Transfer
260. ICML 2023Optimal Sets and Solution Paths of ReLU Networks
261. ICML 2023Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
262. ICML 2023Polarity Is All You Need to Learn and Transfer Faster
263. ICML 2023Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
264. ICML 2023Project and Forget: Solving Large-Scale Metric Constrained Problems
265. ICML 2023Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
266. ICML 2023ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
267. ICML 2023Provably and Practically Efficient Neural Contextual Bandits
268. ICML 2023Regularization-free Diffeomorphic Temporal Alignment Nets
269. ICML 2023Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
270. ICML 2023Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
271. ICML 2023Robust and private stochastic linear bandits
272. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
273. ICML 2023Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
274. ICML 2023Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
275. ICML 2023Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
276. ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
277. ICML 2023SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
278. ICML 2023Simple Disentanglement of Style and Content in Visual Representations
279. ICML 2023SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
280. ICML 2023Spurious Valleys and Clustering Behavior of Neural Networks
281. ICML 2023Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
282. ICML 2023Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
283. ICML 2023Submodular Order Functions and Assortment Optimization
284. ICML 2023Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
285. ICML 2023SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
286. ICML 2023Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
287. ICML 2023Text-To-Concept (and Back) via Cross-Model Alignment
288. ICML 2023The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
289. ICML 2023The SSL Interplay: Augmentations, Inductive Bias, and Generalization
290. ICML 2023The Wisdom of Hindsight Makes Language Models Better Instruction Followers
291. ICML 2023Thompson Sampling with Less Exploration is Fast and Optimal
292. ICML 2023Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
293. ICML 2023Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
294. ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
295. ICML 2023Uncertain Evidence in Probabilistic Models and Stochastic Simulators
296. ICML 2023Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
297. ICML 2023Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
298. ICML 2023What Can Be Learnt With Wide Convolutional Neural Networks?
299. ICML 2023When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
300. ICML 2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

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.