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
1,421 papers, page 13 of 29
- NeurIPS 2025Doubly Robust Alignment for Large Language Models
- NeurIPS 2025DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
- NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
- NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
- NeurIPS 2025Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
- NeurIPS 2025Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
- NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
- NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
- NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
- NeurIPS 2025Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
- NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
- NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
- NeurIPS 2025Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
- NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
- NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
- NeurIPS 2025Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
- NeurIPS 2025Enhancing CLIP Robustness via Cross-Modality Alignment
- NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
- NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
- NeurIPS 2025EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
- NeurIPS 2025Erasing Conceptual Knowledge from Language Models
- NeurIPS 2025Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
- NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
- NeurIPS 2025ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
- NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
- NeurIPS 2025Explainable Reinforcement Learning from Human Feedback to Improve Alignment
- NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
- NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
- NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
- NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
- NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
- NeurIPS 2025Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
- NeurIPS 2025Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model
- NeurIPS 2025FastJAM: a Fast Joint Alignment Model for Images
- NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
- NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
- NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
- NeurIPS 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
- NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
- NeurIPS 2025Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
- NeurIPS 2025FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
- NeurIPS 2025FraPPE: Fast and Efficient Preference-Based Pure Exploration
- NeurIPS 2025From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
- NeurIPS 2025From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
- NeurIPS 2025Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
- NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
- NeurIPS 2025Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
- NeurIPS 2025Generalizing while preserving monotonicity in comparison-based preference learning models
- NeurIPS 2025Generative RLHF-V: Learning Principles from Multi-modal Human Preference
- NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework
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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.