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

246 papers, page 5 of 5

201. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
202. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
203. ICML 2024Simultaneous identification of models and parameters of scientific simulators
204. ICML 2024SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
205. ICML 2024Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
206. ICML 2024Sobolev Space Regularised Pre Density Models
207. ICML 2024SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
208. ICML 2024Sparse and Structured Hopfield Networks
209. ICML 2024Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
210. ICML 2024Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models
211. ICML 2024Split-and-Denoise: Protect large language model inference with local differential privacy
212. ICML 2024SqueezeLLM: Dense-and-Sparse Quantization
213. ICML 2024Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
214. ICML 2024Stacking Deep Set Networks and Pooling by Quantiles
215. ICML 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
216. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
217. ICML 2024Symmetry Induces Structure and Constraint of Learning
218. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
219. ICML 2024Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
220. ICML 2024The Computational Complexity of Finding Second-Order Stationary Points
221. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization
222. ICML 2024The Good, The Bad, and Why: Unveiling Emotions in Generative AI
223. ICML 2024The Linear Representation Hypothesis and the Geometry of Large Language Models
224. ICML 2024Token-level Direct Preference Optimization
225. ICML 2024Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
226. ICML 2024Topological Neural Networks go Persistent, Equivariant, and Continuous
227. ICML 2024Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
228. ICML 2024Towards Efficient Exact Optimization of Language Model Alignment
229. ICML 2024Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
230. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
231. ICML 2024Towards Scalable and Versatile Weight Space Learning
232. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
233. ICML 2024Transformers, parallel computation, and logarithmic depth
234. ICML 2024Transforming and Combining Rewards for Aligning Large Language Models
235. ICML 2024Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy
236. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
237. ICML 2024Understanding the Learning Dynamics of Alignment with Human Feedback
238. ICML 2024Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
239. ICML 2024Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
240. ICML 2024Verifying message-passing neural networks via topology-based bounds tightening
241. ICML 2024WARM: On the Benefits of Weight Averaged Reward Models
242. ICML 2024Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
243. ICML 2024Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
244. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
245. ICML 2024When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
246. ICML 2024When Will Gradient Regularization Be Harmful?

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.