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

623 papers, page 5 of 13

201. ICLR 2026Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical
202. ICLR 2026Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
203. ICLR 2026Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
204. ICLR 2026Fair Classification by Direct Intervention on Operating Characteristics
205. ICLR 2026Fair Conformal Classification via Learning Representation-Based Groups
206. ICLR 2026Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities
207. ICLR 2026Fair Graph Machine Learning under Adversarial Missingness Processes
208. ICLR 2026Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
209. ICLR 2026Fair Policy Aggregation from Standard Policy Optimization
210. ICLR 2026Fairness via Independence: A General Regularization Framework for Machine Learning
211. ICLR 2026Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions
212. ICLR 2026FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
213. ICLR 2026Fast and Interpretable Protein Substructure Alignment via Optimal Transport
214. ICLR 2026Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
215. ICLR 2026Federated Learning of Quantile Inference under Local Differential Privacy
216. ICLR 2026Federated Learning with Profile Mapping under Distribution Shifts and Drifts
217. ICLR 2026FedMC: Federated Manifold Calibration
218. ICLR 2026Fewer Weights, More Problems: A Practical Attack on LLM Pruning
219. ICLR 2026Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
220. ICLR 2026Fine-tuning Done Right in Model Editing
221. ICLR 2026Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
222. ICLR 2026FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
223. ICLR 2026Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models
224. ICLR 2026FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation
225. ICLR 2026FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
226. ICLR 2026FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking
227. ICLR 2026Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages
228. ICLR 2026Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
229. ICLR 2026Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility
230. ICLR 2026From Evaluation to Defense: Advancing Safety in Video Large Language Models
231. ICLR 2026From Natural Alignment to Conditional Controllability in Multimodal Dialogue
232. ICLR 2026From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
233. ICLR 2026From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization
234. ICLR 2026FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization
235. ICLR 2026FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users
236. ICLR 2026Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective
237. ICLR 2026GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
238. ICLR 2026Gaussian certified unlearning in high dimensions: A hypothesis testing approach
239. ICLR 2026GAVEL: Towards Rule-Based Safety through Activation Monitoring
240. ICLR 2026Gelato: Graph Edit Distance via Autoregressive Neural Combinatorial Optimization
241. ICLR 2026General Exploratory Bonus for Optimistic Exploration in RLHF
242. ICLR 2026Generative Bayesian Optimization: Generative Models as Acquisition Functions
243. ICLR 2026Generative Value Conflicts Reveal LLM Priorities
244. ICLR 2026Ghost in the Cloud: Your Geo-Distributed Large Language Models Training is Easily Manipulated
245. ICLR 2026GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments?
246. ICLR 2026GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
247. ICLR 2026GNN Explanations that do not Explain and How to find Them
248. ICLR 2026Good allocations from bad estimates
249. ICLR 2026GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
250. ICLR 2026GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching

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.