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
438 papers, page 3 of 9
- CVPR 2023Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
- CVPR 2023Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
- CVPR 2023Tracking Through Containers and Occluders in the Wild
- CVPR 2023Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
- CVPR 2023Understanding and Improving Visual Prompting: A Label-Mapping Perspective
- CVPR 2023Unifying Short and Long-Term Tracking With Graph Hierarchies
- CVPR 2023Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
- CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
- CVPR 2023VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions
- CVPR 2023Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior
- CVPR 2023Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations
- CVPR 2023WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding
- ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
- ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
- ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
- ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
- ICLR 2023A Message Passing Perspective on Learning Dynamics of Contrastive Learning
- ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
- ICLR 2023Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
- ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
- ICLR 2023Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
- ICLR 2023Auto-Encoding Goodness of Fit
- ICLR 2023BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
- ICLR 2023BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
- ICLR 2023Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
- ICLR 2023Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
- ICLR 2023Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
- ICLR 2023Compressing multidimensional weather and climate data into neural networks
- ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
- ICLR 2023DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
- ICLR 2023Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
- ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
- ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
- ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
- ICLR 2023Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
- ICLR 2023Efficient approximation of neural population structure and correlations with probabilistic circuits
- ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- ICLR 2023Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
- ICLR 2023FaiREE: fair classification with finite-sample and distribution-free guarantee
- ICLR 2023Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- ICLR 2023Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
- ICLR 2023Generalization and Estimation Error Bounds for Model-based Neural Networks
- ICLR 2023Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
- ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
- ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
- ICLR 2023How I Learned to Stop Worrying and Love Retraining
- ICLR 2023Human alignment of neural network representations
- ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
- ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
- ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Alignment and Safety papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "alignment-and-safety"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.