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

623 papers, page 12 of 13

551. ICLR 2026The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment
552. ICLR 2026THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE
553. ICLR 2026Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection
554. ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
555. ICLR 2026Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks
556. ICLR 2026Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
557. ICLR 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
558. ICLR 2026Token-Importance Guided Direct Preference Optimization
559. ICLR 2026Token-level Data Selection for Safe LLM Fine-tuning
560. ICLR 2026Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
561. ICLR 2026Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
562. ICLR 2026Towards Better Optimization For Listwise Preference in Diffusion Models
563. ICLR 2026Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
564. ICLR 2026Towards Learned Optimization Free Lunch
565. ICLR 2026Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
566. ICLR 2026Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query
567. ICLR 2026Towards Personalized Deep Research: Benchmarks and Evaluations
568. ICLR 2026Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure
569. ICLR 2026Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
570. ICLR 2026Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
571. ICLR 2026Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
572. ICLR 2026Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
573. ICLR 2026Towards Understanding Valuable Preference Data for Large Language Model Alignment
574. ICLR 2026Traceable Black-Box Watermarks For Federated Learning
575. ICLR 2026Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models
576. ICLR 2026Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
577. ICLR 2026Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
578. ICLR 2026TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
579. ICLR 2026Trust The Typical
580. ICLR 2026Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
581. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
582. ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
583. ICLR 2026Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
584. ICLR 2026ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference
585. ICLR 2026Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory
586. ICLR 2026Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
587. ICLR 2026Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
588. ICLR 2026UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
589. ICLR 2026Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
590. ICLR 2026Unifying Stable Optimization and Reference Regularization in RLHF
591. ICLR 2026Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
592. ICLR 2026Using cognitive models to reveal value trade-offs in language models
593. ICLR 2026Value Gradient Flow: Behavior-Regularized RL without Regularization
594. ICLR 2026VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks
595. ICLR 2026Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations
596. ICLR 2026VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic
597. ICLR 2026ViPO: Visual Preference Optimization at Scale
598. ICLR 2026VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
599. ICLR 2026VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
600. ICLR 2026VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety

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.