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

1,339 papers, page 10 of 27

451. ICLR 2026Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
452. ICLR 2026Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification
453. ICLR 2026Rethinking Radiology Report Generation: From Narrative Flow to Topic-Guided Findings
454. ICLR 2026Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?
455. ICLR 2026Reward Model Routing in Alignment
456. ICLR 2026Reward Models Inherit Value Biases from Pretraining
457. ICLR 2026RewardEval: Advancing Reward Model Evaluation
458. ICLR 2026Riemannian Optimization on Relaxed Indicator Matrix Manifold
459. ICLR 2026Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting
460. ICLR 2026Risk-Sensitive Agent Compositions
461. ICLR 2026RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
462. ICLR 2026Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample
463. ICLR 2026Robust LLM Unlearning via Post Judgment and Multi-round Thinking
464. ICLR 2026Robust Multi-Objective Controlled Decoding of Large Language Models
465. ICLR 2026Robust Preference Alignment via Directional Neighborhood Consensus
466. ICLR 2026Robust Preference Optimization: Aligning Language Models with Noisy Preference Feedback
467. ICLR 2026Robust Reward Modeling via Causal Rubrics
468. ICLR 2026Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
469. ICLR 2026Routing, Cascades, and User Choice for LLMs
470. ICLR 2026Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
471. ICLR 2026SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks
472. ICLR 2026SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
473. ICLR 2026SafeMoE: Safe Fine-Tuning for MoE LLMs by Aligning Harmful Input Routing
474. ICLR 2026Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
475. ICLR 2026Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense
476. ICLR 2026Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
477. ICLR 2026Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
478. ICLR 2026SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
479. ICLR 2026Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
480. ICLR 2026Sampling-aware Adversarial Attacks Against Large Language Models
481. ICLR 2026SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier
482. ICLR 2026SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
483. ICLR 2026Secret-Protected Evolution for Differentially Private Synthetic Text Generation
484. ICLR 2026Secure Outlier-Aware Large Language Model Inference
485. ICLR 2026SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
486. ICLR 2026SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
487. ICLR 2026Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection
488. ICLR 2026Selective Data Removal for Distributional Machine Unlearning
489. ICLR 2026Self-Destructive Language Models
490. ICLR 2026Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training
491. ICLR 2026SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
492. ICLR 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
493. ICLR 2026Semi-Supervised Preference Optimization with Limited Feedback
494. ICLR 2026SeRI: Gradient-Free Sensitive Region Identification in Decision-Based Black-Box Attacks
495. ICLR 2026Set Representation Auxiliary Learning with Adversarial Encoding Perturbation and Optimization
496. ICLR 2026Sharpness-Aware Machine Unlearning
497. ICLR 2026Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
498. ICLR 2026SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion
499. ICLR 2026Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems
500. ICLR 2026SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors

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.