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 71 of 92

3501. ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
3502. ICLR 2024The False Promise of Imitating Proprietary Language Models
3503. ICLR 2024The importance of feature preprocessing for differentially private linear optimization
3504. ICLR 2024The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
3505. ICLR 2024The Trickle-down Impact of Reward Inconsistency on RLHF
3506. ICLR 2024The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
3507. ICLR 2024Tool-Augmented Reward Modeling
3508. ICLR 2024Toward effective protection against diffusion-based mimicry through score distillation
3509. ICLR 2024Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
3510. ICLR 2024Towards Poisoning Fair Representations
3511. ICLR 2024Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
3512. ICLR 2024Towards Understanding Sycophancy in Language Models
3513. ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
3514. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
3515. ICLR 2024Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
3516. ICLR 2024Understanding the Effects of RLHF on LLM Generalisation and Diversity
3517. ICLR 2024Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
3518. ICLR 2024Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
3519. ICLR 2024Universal Jailbreak Backdoors from Poisoned Human Feedback
3520. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
3521. ICLR 2024VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
3522. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
3523. ICLR 2024What Matters to You? Towards Visual Representation Alignment for Robot Learning
3524. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild
3525. ICLR 2024ZeRO++: Extremely Efficient Collective Communication for Large Model Training
3526. ICLR 2024Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
3527. ICML 2024A connection between Tempering and Entropic Mirror Descent
3528. ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
3529. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
3530. ICML 2024A Minimaximalist Approach to Reinforcement Learning from Human Feedback
3531. ICML 2024A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
3532. ICML 2024A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
3533. ICML 2024Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
3534. ICML 2024Active Preference Learning for Large Language Models
3535. ICML 2024Active Ranking and Matchmaking, with Perfect Matchings
3536. ICML 2024Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
3537. ICML 2024Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
3538. ICML 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
3539. ICML 2024Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
3540. ICML 2024AI Alignment with Changing and Influenceable Reward Functions
3541. ICML 2024AI Control: Improving Safety Despite Intentional Subversion
3542. ICML 2024Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
3543. ICML 2024Aligning Transformers with Weisfeiler-Leman
3544. ICML 2024AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
3545. ICML 2024An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
3546. ICML 2024Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
3547. ICML 2024AutoOS: Make Your OS More Powerful by Exploiting Large Language Models
3548. ICML 2024Balanced Resonate-and-Fire Neurons
3549. ICML 2024Balancing Similarity and Complementarity for Federated Learning
3550. ICML 2024Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium

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.