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

4,558 papers, page 86 of 92

4251. ICLR 2023Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
4252. ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
4253. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
4254. ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
4255. ICLR 2023Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
4256. ICLR 2023Efficient approximation of neural population structure and correlations with probabilistic circuits
4257. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
4258. ICLR 2023Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
4259. ICLR 2023FaiREE: fair classification with finite-sample and distribution-free guarantee
4260. ICLR 2023Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
4261. ICLR 2023Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
4262. ICLR 2023Generalization and Estimation Error Bounds for Model-based Neural Networks
4263. ICLR 2023Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
4264. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
4265. ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
4266. ICLR 2023How I Learned to Stop Worrying and Love Retraining
4267. ICLR 2023Human alignment of neural network representations
4268. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
4269. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
4270. ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
4271. ICLR 2023Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
4272. ICLR 2023Mind's Eye: Grounded Language Model Reasoning through Simulation
4273. ICLR 2023MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
4274. ICLR 2023Multiple sequence alignment as a sequence-to-sequence learning problem
4275. ICLR 2023Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
4276. ICLR 2023Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
4277. ICLR 2023On Accelerated Perceptrons and Beyond
4278. ICLR 2023On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
4279. ICLR 2023On the duality between contrastive and non-contrastive self-supervised learning
4280. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
4281. ICLR 2023One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
4282. ICLR 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
4283. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
4284. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
4285. ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
4286. ICLR 2023PiFold: Toward effective and efficient protein inverse folding
4287. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
4288. ICLR 2023Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
4289. ICLR 2023Reliability of CKA as a Similarity Measure in Deep Learning
4290. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
4291. ICLR 2023Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
4292. ICLR 2023Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
4293. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
4294. ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
4295. ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
4296. ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
4297. ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
4298. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
4299. ICLR 2023Stochastic Differentially Private and Fair Learning
4300. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation

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.