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
4,558 papers, page 82 of 92
- NeurIPS 2024Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
- NeurIPS 2024SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment
- NeurIPS 2024SimPO: Simple Preference Optimization with a Reference-Free Reward
- NeurIPS 2024Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
- NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
- NeurIPS 2024Spectral Editing of Activations for Large Language Model Alignment
- NeurIPS 2024SpeechAlign: Aligning Speech Generation to Human Preferences
- NeurIPS 2024SSDM: Scalable Speech Dysfluency Modeling
- NeurIPS 2024Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
- NeurIPS 2024Stepwise Alignment for Constrained Language Model Policy Optimization
- NeurIPS 2024Stress-Testing Capability Elicitation With Password-Locked Models
- NeurIPS 2024Studying How to Efficiently and Effectively Guide Models with Explanations - A Reproducibility Study
- NeurIPS 2024T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models
- NeurIPS 2024Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
- NeurIPS 2024TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
- NeurIPS 2024Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
- NeurIPS 2024Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
- NeurIPS 2024TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
- NeurIPS 2024The Art of Saying No: Contextual Noncompliance in Language Models
- NeurIPS 2024The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
- NeurIPS 2024The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
- NeurIPS 2024The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
- NeurIPS 2024The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
- NeurIPS 2024TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
- NeurIPS 2024TopoFR: A Closer Look at Topology Alignment on Face Recognition
- NeurIPS 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models
- NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
- NeurIPS 2024Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
- NeurIPS 2024Transfer Q-star : Principled Decoding for LLM Alignment
- NeurIPS 2024Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
- NeurIPS 2024Transferable Adversarial Attacks on SAM and Its Downstream Models
- NeurIPS 2024Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
- NeurIPS 2024Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
- NeurIPS 2024Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
- NeurIPS 2024Truth is Universal: Robust Detection of Lies in LLMs
- NeurIPS 2024UltraMedical: Building Specialized Generalists in Biomedicine
- NeurIPS 2024Uncovering Safety Risks of Large Language Models through Concept Activation Vector
- NeurIPS 2024Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
- NeurIPS 2024Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
- NeurIPS 2024Understanding the Transferability of Representations via Task-Relatedness
- NeurIPS 2024Unelicitable Backdoors via Cryptographic Transformer Circuits
- NeurIPS 2024Unified Lexical Representation for Interpretable Visual-Language Alignment
- NeurIPS 2024UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels
- NeurIPS 2024Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
- NeurIPS 2024Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
- NeurIPS 2024UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
- NeurIPS 2024Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
- NeurIPS 2024Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
- NeurIPS 2024Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
- NeurIPS 2024Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
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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.