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
1,363 papers, page 15 of 28
- ICML 2025FlipAttack: Jailbreak LLMs via Flipping
- ICML 2025Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
- ICML 2025Functional Alignment Can Mislead: Examining Model Stitching
- ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
- ICML 2025Gandalf the Red: Adaptive Security for LLMs
- ICML 2025Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
- ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
- ICML 2025Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
- ICML 2025Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes
- ICML 2025GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
- ICML 2025GRAM: A Generative Foundation Reward Model for Reward Generalization
- ICML 2025Hardware and Software Platform Inference
- ICML 2025Hierarchical Graph Tokenization for Molecule-Language Alignment
- ICML 2025How to set AdamW's weight decay as you scale model and dataset size
- ICML 2025HPS: Hard Preference Sampling for Human Preference Alignment
- ICML 2025Human-Aligned Image Models Improve Visual Decoding from the Brain
- ICML 2025ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
- ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
- ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
- ICML 2025Improving Model Alignment Through Collective Intelligence of Open-Source Models
- ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
- ICML 2025InfAlign: Inference-aware language model alignment
- ICML 2025Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
- ICML 2025Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
- ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
- ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
- ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
- ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
- ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
- ICML 2025Knowledge Swapping via Learning and Unlearning
- ICML 2025Knowledge-Guided Wasserstein Distributionally Robust Optimization
- ICML 2025Language Models as Implicit Tree Search
- ICML 2025LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
- ICML 2025Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
- ICML 2025Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
- ICML 2025Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
- ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
- ICML 2025Learning Cascade Ranking as One Network
- ICML 2025Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
- ICML 2025Learning Safety Constraints for Large Language Models
- ICML 2025Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
- ICML 2025Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
- ICML 2025Learnware Specification via Dual Alignment
- ICML 2025Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
- ICML 2025Linear Bandits with Partially Observable Features
- ICML 2025LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
- ICML 2025LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
- ICML 2025LLM Data Selection and Utilization via Dynamic Bi-level Optimization
- ICML 2025Logarithmic Regret for Online KL-Regularized Reinforcement Learning
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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.