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
551 papers, page 6 of 12
- ICML 2026Latent Space Robust Optimization of Neural Processes with Aligned Stratified Order-Statistic Loss Reduction
- ICML 2026Layer-wise Gradient Disentanglement: Decoupling Semantics and Preferences in Direct Preference Optimization
- ICML 2026Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
- ICML 2026Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective
- ICML 2026Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
- ICML 2026Learning in Structured Stackelberg Games
- ICML 2026Learning to Remember, Learn, and Forget in Attention-Based Models
- ICML 2026Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
- ICML 2026Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
- ICML 2026Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
- ICML 2026Leveraging Machine Unlearning for Cost-Efficient Preference Alignment
- ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
- ICML 2026LILO: Bayesian Optimization with Natural Language Feedback
- ICML 2026LiMuon: Light and Fast Muon Optimizer for Large Models
- ICML 2026LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
- ICML 2026LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
- ICML 2026Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain
- ICML 2026Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
- ICML 2026Local-Minima-Preserving Polynomial Relaxation of Ising Problems
- ICML 2026Localized, High-resolution Geographic Representations with Slepian Functions
- ICML 2026Lookahead-GCG: Improving Universal Multi-Model Optimization-Based Jailbreaking Attacks via Stochastic Nesterov Optimization
- ICML 2026Matroid Algorithms Under Size-Sensitive Independence Oracles
- ICML 2026MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
- ICML 2026Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data
- ICML 2026Measuring Meta-Cultural Competency: A Spectral Framework for LLM Knowledge Structures
- ICML 2026Mechanistic Anomaly Detection via Functional Attribution
- ICML 2026Membership Inference Attacks for Unseen Classes
- ICML 2026MESA: Improving MoE Safety Alignment via Decentralized Expertise
- ICML 2026Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
- ICML 2026Mind the Gap: Structure-Aware Consistency in Preference Learning
- ICML 2026Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
- ICML 2026MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
- ICML 2026Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
- ICML 2026Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
- ICML 2026Mitigating the Safety–Utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
- ICML 2026Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
- ICML 2026MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
- ICML 2026MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge
- ICML 2026MoDA: Modulation Adapter for Fine-Grained Visual Understanding in Instructional MLLMs
- ICML 2026Model Fusion via Retrofitting
- ICML 2026Modeling Attributional Style at Scale: A Dataset and Analysis for Psychological Attribution Assessment and Reframing
- ICML 2026Modular Pretraining Enables Access Control
- ICML 2026MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
- ICML 2026More Capable, Less Cooperative? When LLMs Fail at Zero-Cost Collaboration
- ICML 2026MRPO: Magnitude-Regularized Policy Optimization via L1 Constraints
- ICML 2026Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
- ICML 2026Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
- ICML 2026Multi-Way Representation Alignment
- ICML 2026MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
- ICML 2026Multilingual Safety Alignment via Representation-Space Separability
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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.