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 14 of 18

651. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
652. NeurIPS 2024FUGAL: Feature-fortified Unrestricted Graph Alignment
653. NeurIPS 2024Full-Distance Evasion of Pedestrian Detectors in the Physical World
654. NeurIPS 2024Generalizable Person Re-identification via Balancing Alignment and Uniformity
655. NeurIPS 2024Geometric-Averaged Preference Optimization for Soft Preference Labels
656. NeurIPS 2024Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
657. NeurIPS 2024Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
658. NeurIPS 2024GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
659. NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
660. NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
661. NeurIPS 2024HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
662. NeurIPS 2024HelpSteer 2: Open-source dataset for training top-performing reward models
663. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
664. NeurIPS 2024Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
665. NeurIPS 2024HuRef: HUman-REadable Fingerprint for Large Language Models
666. NeurIPS 2024Imitating Language via Scalable Inverse Reinforcement Learning
667. NeurIPS 2024Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
668. NeurIPS 2024Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
669. NeurIPS 2024Improved Generation of Adversarial Examples Against Safety-aligned LLMs
670. NeurIPS 2024Improving Alignment and Robustness with Circuit Breakers
671. NeurIPS 2024Improving Context-Aware Preference Modeling for Language Models
672. NeurIPS 2024Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
673. NeurIPS 2024Improving Subgroup Robustness via Data Selection
674. NeurIPS 2024INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
675. NeurIPS 2024InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
676. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
677. NeurIPS 2024Interpreting Learned Feedback Patterns in Large Language Models
678. NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
679. NeurIPS 2024Iterative Reasoning Preference Optimization
680. NeurIPS 2024JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
681. NeurIPS 2024Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
682. NeurIPS 2024Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
683. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
684. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
685. NeurIPS 2024Label Alignment Regularization for Distribution Shift
686. NeurIPS 2024LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
687. NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
688. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
689. NeurIPS 2024Large Language Model Unlearning
690. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
691. NeurIPS 2024Large language model validity via enhanced conformal prediction methods
692. NeurIPS 2024Latent Functional Maps: a spectral framework for representation alignment
693. NeurIPS 2024Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
694. NeurIPS 2024Learning Human-like Representations to Enable Learning Human Values
695. NeurIPS 2024Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
696. NeurIPS 2024Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
697. NeurIPS 2024Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
698. NeurIPS 2024Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
699. NeurIPS 2024LLM Dataset Inference: Did you train on my dataset?
700. NeurIPS 2024LLM Evaluators Recognize and Favor Their Own Generations

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.