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

875 papers, page 5 of 18

201. ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
202. ICLR 2024Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
203. ICLR 2024Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
204. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
205. ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
206. ICLR 2024Making RL with Preference-based Feedback Efficient via Randomization
207. ICLR 2024MAP IT to Visualize Representations
208. ICLR 2024Masks, Signs, And Learning Rate Rewinding
209. ICLR 2024MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
210. ICLR 2024Motif: Intrinsic Motivation from Artificial Intelligence Feedback
211. ICLR 2024Multilingual Jailbreak Challenges in Large Language Models
212. ICLR 2024NEFTune: Noisy Embeddings Improve Instruction Finetuning
213. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
214. ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
215. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
216. ICLR 2024On Bias-Variance Alignment in Deep Models
217. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
218. ICLR 2024On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
219. ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
220. ICLR 2024On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
221. ICLR 2024Optimal transport based adversarial patch to leverage large scale attack transferability
222. ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
223. ICLR 2024PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
224. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
225. ICLR 2024Privately Aligning Language Models with Reinforcement Learning
226. ICLR 2024Quantifying and Enhancing Multi-modal Robustness with Modality Preference
227. ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
228. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
229. ICLR 2024RAIN: Your Language Models Can Align Themselves without Finetuning
230. ICLR 2024RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
231. ICLR 2024Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
232. ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
233. ICLR 2024Reward Model Ensembles Help Mitigate Overoptimization
234. ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
235. ICLR 2024RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
236. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
237. ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
238. ICLR 2024Safe and Robust Watermark Injection with a Single OoD Image
239. ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
240. ICLR 2024Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
241. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
242. ICLR 2024Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
243. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
244. ICLR 2024Self-Alignment with Instruction Backtranslation
245. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
246. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
247. ICLR 2024Set Learning for Accurate and Calibrated Models
248. ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
249. ICLR 2024Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
250. ICLR 2024Statistical Rejection Sampling Improves Preference Optimization

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.