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

156 papers, page 2 of 4

51. ICLR 2024Expressivity of ReLU-Networks under Convex Relaxations
52. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
53. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
54. ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares
55. ICLR 2024FedImpro: Measuring and Improving Client Update in Federated Learning
56. ICLR 2024FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
57. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
58. ICLR 2024Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
59. ICLR 2024Fine-Tuning Language Models for Factuality
60. ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
61. ICLR 2024FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
62. ICLR 2024Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
63. ICLR 2024Generative Judge for Evaluating Alignment
64. ICLR 2024GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
65. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
66. ICLR 2024How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
67. ICLR 2024Identifying the Risks of LM Agents with an LM-Emulated Sandbox
68. ICLR 2024Implicit Neural Representations and the Algebra of Complex Wavelets
69. ICLR 2024Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
70. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
71. ICLR 2024Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
72. ICLR 2024Language Model Decoding as Direct Metrics Optimization
73. ICLR 2024Language Model Inversion
74. ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
75. ICLR 2024LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
76. ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
77. ICLR 2024Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
78. ICLR 2024Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
79. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
80. ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
81. ICLR 2024Making RL with Preference-based Feedback Efficient via Randomization
82. ICLR 2024MAP IT to Visualize Representations
83. ICLR 2024Masks, Signs, And Learning Rate Rewinding
84. ICLR 2024MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
85. ICLR 2024Motif: Intrinsic Motivation from Artificial Intelligence Feedback
86. ICLR 2024Multilingual Jailbreak Challenges in Large Language Models
87. ICLR 2024NEFTune: Noisy Embeddings Improve Instruction Finetuning
88. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
89. ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
90. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
91. ICLR 2024On Bias-Variance Alignment in Deep Models
92. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
93. ICLR 2024On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
94. ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
95. ICLR 2024On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
96. ICLR 2024Optimal transport based adversarial patch to leverage large scale attack transferability
97. ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
98. ICLR 2024PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
99. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
100. ICLR 2024Privately Aligning Language Models with Reinforcement Learning

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.