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

875 papers, page 13 of 18

601. NeurIPS 2024Cross-Modality Perturbation Synergy Attack for Person Re-identification
602. NeurIPS 2024DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
603. NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
604. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
605. NeurIPS 2024Data Free Backdoor Attacks
606. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
607. NeurIPS 2024Deep Learning in Medical Image Registration: Magic or Mirage?
608. NeurIPS 2024DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
609. NeurIPS 2024DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
610. NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
611. NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
612. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
613. NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
614. NeurIPS 2024Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
615. NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
616. NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
617. NeurIPS 2024Distributionally Robust Performative Prediction
618. NeurIPS 2024DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
619. NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
620. NeurIPS 2024Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
621. NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
622. NeurIPS 2024Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
623. NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
624. NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
625. NeurIPS 2024Empowering and Assessing the Utility of Large Language Models in Crop Science
626. NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
627. NeurIPS 2024Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
628. NeurIPS 2024Enhancing Large Vision Language Models with Self-Training on Image Comprehension
629. NeurIPS 2024Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
630. NeurIPS 2024Entity Alignment with Noisy Annotations from Large Language Models
631. NeurIPS 2024Evaluating alignment between humans and neural network representations in image-based learning tasks
632. NeurIPS 2024Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
633. NeurIPS 2024Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
634. NeurIPS 2024Exploiting LLM Quantization
635. NeurIPS 2024Exploring Adversarial Robustness of Deep State Space Models
636. NeurIPS 2024Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
637. NeurIPS 2024Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
638. NeurIPS 2024Fast Best-of-N Decoding via Speculative Rejection
639. NeurIPS 2024Fast yet Safe: Early-Exiting with Risk Control
640. NeurIPS 2024Faster Repeated Evasion Attacks in Tree Ensembles
641. NeurIPS 2024Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
642. NeurIPS 2024FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
643. NeurIPS 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
644. NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
645. NeurIPS 2024Few-Shot Adversarial Prompt Learning on Vision-Language Models
646. NeurIPS 2024Fight Back Against Jailbreaking via Prompt Adversarial Tuning
647. NeurIPS 2024FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
648. NeurIPS 2024FLAME : Factuality-Aware Alignment for Large Language Models
649. NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
650. NeurIPS 2024From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models

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.