Alignment and Safety papers, 2023–2026

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.

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 75 of 92

3701. ICML 2024Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
3702. ICML 2024Quality-Diversity with Limited Resources
3703. ICML 2024Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
3704. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
3705. ICML 2024Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
3706. ICML 2024Random Scaling and Momentum for Non-smooth Non-convex Optimization
3707. ICML 2024Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
3708. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
3709. ICML 2024ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
3710. ICML 2024Representation Surgery: Theory and Practice of Affine Steering
3711. ICML 2024Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
3712. ICML 2024Rethinking Optimization and Architecture for Tiny Language Models
3713. ICML 2024Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
3714. ICML 2024Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
3715. ICML 2024Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
3716. ICML 2024RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
3717. ICML 2024RLVF: Learning from Verbal Feedback without Overgeneralization
3718. ICML 2024Robust Stable Spiking Neural Networks
3719. ICML 2024Robustly Learning Single-Index Models via Alignment Sharpness
3720. ICML 2024Roping in Uncertainty: Robustness and Regularization in Markov Games
3721. ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
3722. ICML 2024Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
3723. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
3724. ICML 2024Scalable AI Safety via Doubly-Efficient Debate
3725. ICML 2024Scaling Exponents Across Parameterizations and Optimizers
3726. ICML 2024Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
3727. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
3728. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
3729. ICML 2024Simultaneous identification of models and parameters of scientific simulators
3730. ICML 2024SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
3731. ICML 2024Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
3732. ICML 2024Sobolev Space Regularised Pre Density Models
3733. ICML 2024SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
3734. ICML 2024Sparse and Structured Hopfield Networks
3735. ICML 2024Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
3736. ICML 2024Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models
3737. ICML 2024Split-and-Denoise: Protect large language model inference with local differential privacy
3738. ICML 2024SqueezeLLM: Dense-and-Sparse Quantization
3739. ICML 2024Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
3740. ICML 2024Stacking Deep Set Networks and Pooling by Quantiles
3741. ICML 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
3742. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
3743. ICML 2024Symmetry Induces Structure and Constraint of Learning
3744. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
3745. ICML 2024Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
3746. ICML 2024The Computational Complexity of Finding Second-Order Stationary Points
3747. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization
3748. ICML 2024The Good, The Bad, and Why: Unveiling Emotions in Generative AI
3749. ICML 2024The Linear Representation Hypothesis and the Geometry of Large Language Models
3750. ICML 2024Token-level Direct Preference Optimization

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.