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
348 papers, page 2 of 7
- NeurIPS 2024CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
- NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
- NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
- NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
- NeurIPS 2024Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
- NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
- NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
- NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
- NeurIPS 2024CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
- NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
- NeurIPS 2024ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
- NeurIPS 2024CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
- NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
- NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
- NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
- NeurIPS 2024Conformalized Multiple Testing after Data-dependent Selection
- NeurIPS 2024Conformalized Time Series with Semantic Features
- NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
- NeurIPS 2024Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
- NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
- NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
- NeurIPS 2024Continual Learning with Global Alignment
- NeurIPS 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
- NeurIPS 2024Cross-Modality Perturbation Synergy Attack for Person Re-identification
- NeurIPS 2024DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
- NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
- NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
- NeurIPS 2024Data Free Backdoor Attacks
- NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
- NeurIPS 2024Deep Learning in Medical Image Registration: Magic or Mirage?
- NeurIPS 2024DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
- NeurIPS 2024DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
- NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
- NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
- NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
- NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
- NeurIPS 2024Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
- NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
- NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
- NeurIPS 2024Distributionally Robust Performative Prediction
- NeurIPS 2024DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
- NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
- NeurIPS 2024Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
- NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
- NeurIPS 2024Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
- NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
- NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
- NeurIPS 2024Empowering and Assessing the Utility of Large Language Models in Crop Science
- NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
- NeurIPS 2024Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
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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.