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
87 papers, page 2 of 2
- ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
- ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
- ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
- ICLR 2023PiFold: Toward effective and efficient protein inverse folding
- ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
- ICLR 2023Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
- ICLR 2023Reliability of CKA as a Similarity Measure in Deep Learning
- ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
- ICLR 2023Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
- ICLR 2023Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
- ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
- ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
- ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
- ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
- ICLR 2023Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
- ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
- ICLR 2023Stochastic Differentially Private and Fair Learning
- ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
- ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
- ICLR 2023SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
- ICLR 2023TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
- ICLR 2023Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
- ICLR 2023Task Ambiguity in Humans and Language Models
- ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
- ICLR 2023Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
- ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
- ICLR 2023Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
- ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
- ICLR 2023Training language models to summarize narratives improves brain alignment
- ICLR 2023Understanding Influence Functions and Datamodels via Harmonic Analysis
- ICLR 2023Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
- ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
- ICLR 2023Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
- ICLR 2023What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- ICLR 2023When to Make and Break Commitments?
- ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
- ICLR 2023Why (and When) does Local SGD Generalize Better than SGD?
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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.