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 12 of 29
- NeurIPS 2025Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
- NeurIPS 2025Checklists Are Better Than Reward Models For Aligning Language Models
- NeurIPS 2025Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
- NeurIPS 2025Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
- NeurIPS 2025Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
- NeurIPS 2025Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
- NeurIPS 2025Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
- NeurIPS 2025Combining Cost Constrained Runtime Monitors for AI Safety
- NeurIPS 2025Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
- NeurIPS 2025ComPO: Preference Alignment via Comparison Oracles
- NeurIPS 2025Composition and Alignment of Diffusion Models using Constrained Learning
- NeurIPS 2025Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
- NeurIPS 2025Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
- NeurIPS 2025Computation and Memory-Efficient Model Compression with Gradient Reweighting
- NeurIPS 2025Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
- NeurIPS 2025Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
- NeurIPS 2025Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
- NeurIPS 2025Connecting Neural Models Latent Geometries with Relative Geodesic Representations
- NeurIPS 2025Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
- NeurIPS 2025Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
- NeurIPS 2025Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
- NeurIPS 2025CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
- NeurIPS 2025CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
- NeurIPS 2025Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
- NeurIPS 2025CPO: Condition Preference Optimization for Controllable Image Generation
- NeurIPS 2025CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
- NeurIPS 2025CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
- NeurIPS 2025CVGL: Causal Learning and Geometric Topology
- NeurIPS 2025DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
- NeurIPS 2025Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
- NeurIPS 2025Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
- NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
- NeurIPS 2025Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
- NeurIPS 2025DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
- NeurIPS 2025Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
- NeurIPS 2025Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
- NeurIPS 2025Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
- NeurIPS 2025Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
- NeurIPS 2025Dimensional Collapse in VQVAEs: Evidence and Remedies
- NeurIPS 2025Dimensionality Mismatch Between Brains and Artificial Neural Networks
- NeurIPS 2025Direct Alignment with Heterogeneous Preferences
- NeurIPS 2025Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
- NeurIPS 2025Distillation Robustifies Unlearning
- NeurIPS 2025Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
- NeurIPS 2025Distributional LLM-as-a-Judge
- NeurIPS 2025Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
- NeurIPS 2025DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
- NeurIPS 2025Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
- NeurIPS 2025Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
- NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
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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.