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 4 of 5

151. ICML 2024Perfect Alignment May be Poisonous to Graph Contrastive Learning
152. ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
153. ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
154. ICML 2024PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
155. ICML 2024Position: A Roadmap to Pluralistic Alignment
156. ICML 2024Position: A Safe Harbor for AI Evaluation and Red Teaming
157. ICML 2024Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
158. ICML 2024Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation
159. ICML 2024Position: Explain to Question not to Justify
160. ICML 2024Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
161. ICML 2024Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
162. ICML 2024Position: Technical Research and Talent is Needed for Effective AI Governance
163. ICML 2024Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
164. ICML 2024Position: Towards Unified Alignment Between Agents, Humans, and Environment
165. ICML 2024Position: TrustLLM: Trustworthiness in Large Language Models
166. ICML 2024Positive and Unlabeled Learning with Controlled Probability Boundary Fence
167. ICML 2024Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
168. ICML 2024Pricing with Contextual Elasticity and Heteroscedastic Valuation
169. ICML 2024Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
170. ICML 2024Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
171. ICML 2024Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
172. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
173. ICML 2024Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
174. ICML 2024Provably Robust DPO: Aligning Language Models with Noisy Feedback
175. ICML 2024Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
176. ICML 2024Quality-Diversity with Limited Resources
177. ICML 2024Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
178. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
179. ICML 2024Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
180. ICML 2024Random Scaling and Momentum for Non-smooth Non-convex Optimization
181. ICML 2024Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
182. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
183. ICML 2024ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
184. ICML 2024Representation Surgery: Theory and Practice of Affine Steering
185. ICML 2024Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
186. ICML 2024Rethinking Optimization and Architecture for Tiny Language Models
187. ICML 2024Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
188. ICML 2024Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
189. ICML 2024Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
190. ICML 2024RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
191. ICML 2024RLVF: Learning from Verbal Feedback without Overgeneralization
192. ICML 2024Robust Stable Spiking Neural Networks
193. ICML 2024Robustly Learning Single-Index Models via Alignment Sharpness
194. ICML 2024Roping in Uncertainty: Robustness and Regularization in Markov Games
195. ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
196. ICML 2024Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
197. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
198. ICML 2024Scalable AI Safety via Doubly-Efficient Debate
199. ICML 2024Scaling Exponents Across Parameterizations and Optimizers
200. ICML 2024Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

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.