Alignment and Safety papers, 2023–2026
RLHF, preference optimization, red-teaming, and safety alignment
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 4,558 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
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
1,421 papers, page 28 of 29
- NeurIPS 2023On Learning Necessary and Sufficient Causal Graphs
- NeurIPS 2023On Masked Pre-training and the Marginal Likelihood
- NeurIPS 2023On Private and Robust Bandits
- NeurIPS 2023On skip connections and normalisation layers in deep optimisation
- NeurIPS 2023On the impact of activation and normalization in obtaining isometric embeddings at initialization
- NeurIPS 2023On the Interplay between Social Welfare and Tractability of Equilibria
- NeurIPS 2023On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
- NeurIPS 2023OpenAssistant Conversations - Democratizing Large Language Model Alignment
- NeurIPS 2023OpenProteinSet: Training data for structural biology at scale
- NeurIPS 2023Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
- NeurIPS 2023Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
- NeurIPS 2023Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- NeurIPS 2023Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
- NeurIPS 2023Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
- NeurIPS 2023Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
- NeurIPS 2023Red Teaming Deep Neural Networks with Feature Synthesis Tools
- NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
- NeurIPS 2023Residual Alignment: Uncovering the Mechanisms of Residual Networks
- NeurIPS 2023Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
- NeurIPS 2023Responsible AI (RAI) Games and Ensembles
- NeurIPS 2023Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
- NeurIPS 2023Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
- NeurIPS 2023Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
- NeurIPS 2023Robust covariance estimation with missing values and cell-wise contamination
- NeurIPS 2023Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
- NeurIPS 2023RRHF: Rank Responses to Align Language Models with Human Feedback
- NeurIPS 2023Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
- NeurIPS 2023SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
- NeurIPS 2023Safety Verification of Decision-Tree Policies in Continuous Time
- NeurIPS 2023Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
- NeurIPS 2023Self-supervised video pretraining yields robust and more human-aligned visual representations
- NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
- NeurIPS 2023Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
- NeurIPS 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
- NeurIPS 2023SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
- NeurIPS 2023SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
- NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
- NeurIPS 2023Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
- NeurIPS 2023Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
- NeurIPS 2023Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
- NeurIPS 2023StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
- NeurIPS 2023Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
- NeurIPS 2023Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
- NeurIPS 2023Strong and Precise Modulation of Human Percepts via Robustified ANNs
- NeurIPS 2023Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
- NeurIPS 2023Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
- NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
- NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
- NeurIPS 2023The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
- NeurIPS 2023Theoretical and Practical Perspectives on what Influence Functions Do
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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.