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 25 of 27

1201. ICLR 2024RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
1202. ICLR 2024Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
1203. ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
1204. ICLR 2024Reward Model Ensembles Help Mitigate Overoptimization
1205. ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
1206. ICLR 2024RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
1207. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
1208. ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
1209. ICLR 2024Safe and Robust Watermark Injection with a Single OoD Image
1210. ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
1211. ICLR 2024Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
1212. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
1213. ICLR 2024Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
1214. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
1215. ICLR 2024Self-Alignment with Instruction Backtranslation
1216. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
1217. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
1218. ICLR 2024Set Learning for Accurate and Calibrated Models
1219. ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
1220. ICLR 2024Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
1221. ICLR 2024Statistical Rejection Sampling Improves Preference Optimization
1222. ICLR 2024Subtractive Mixture Models via Squaring: Representation and Learning
1223. ICLR 2024Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
1224. ICLR 2024Task structure and nonlinearity jointly determine learned representational geometry
1225. ICLR 2024Teaching Language Models to Hallucinate Less with Synthetic Tasks
1226. ICLR 2024The Alignment Problem from a Deep Learning Perspective
1227. ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
1228. ICLR 2024The False Promise of Imitating Proprietary Language Models
1229. ICLR 2024The importance of feature preprocessing for differentially private linear optimization
1230. ICLR 2024The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
1231. ICLR 2024The Trickle-down Impact of Reward Inconsistency on RLHF
1232. ICLR 2024The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
1233. ICLR 2024Tool-Augmented Reward Modeling
1234. ICLR 2024Toward effective protection against diffusion-based mimicry through score distillation
1235. ICLR 2024Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
1236. ICLR 2024Towards Poisoning Fair Representations
1237. ICLR 2024Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
1238. ICLR 2024Towards Understanding Sycophancy in Language Models
1239. ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
1240. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
1241. ICLR 2024Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
1242. ICLR 2024Understanding the Effects of RLHF on LLM Generalisation and Diversity
1243. ICLR 2024Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
1244. ICLR 2024Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
1245. ICLR 2024Universal Jailbreak Backdoors from Poisoned Human Feedback
1246. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
1247. ICLR 2024VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
1248. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
1249. ICLR 2024What Matters to You? Towards Visual Representation Alignment for Robot Learning
1250. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild

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.