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

1,339 papers, page 27 of 27

1301. ICLR 2023One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
1302. ICLR 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
1303. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
1304. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
1305. ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
1306. ICLR 2023PiFold: Toward effective and efficient protein inverse folding
1307. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
1308. ICLR 2023Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
1309. ICLR 2023Reliability of CKA as a Similarity Measure in Deep Learning
1310. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
1311. ICLR 2023Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
1312. ICLR 2023Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
1313. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
1314. ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
1315. ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
1316. ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
1317. ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
1318. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
1319. ICLR 2023Stochastic Differentially Private and Fair Learning
1320. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
1321. ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
1322. ICLR 2023SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
1323. ICLR 2023TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
1324. ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
1325. ICLR 2023Task Ambiguity in Humans and Language Models
1326. ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
1327. ICLR 2023Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
1328. ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
1329. ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
1330. ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
1331. ICLR 2023Training language models to summarize narratives improves brain alignment
1332. ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
1333. ICLR 2023Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
1334. ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
1335. ICLR 2023Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
1336. ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
1337. ICLR 2023When to Make and Break Commitments?
1338. ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
1339. ICLR 2023Why (and When) does Local SGD Generalize Better than SGD?

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.