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 3 of 13

101. ICLR 2026Closing the Modality Gap Aligns Group-Wise Semantics
102. ICLR 2026Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
103. ICLR 2026Co-occurring Associated REtained concepts in Diffusion Unlearning
104. ICLR 2026CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
105. ICLR 2026CodeGenGuard: A Robust Watermark for Code Generation Models
106. ICLR 2026CoFact: Conformal Factuality Guarantees for Language Models under Distribution Shift
107. ICLR 2026CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
108. ICLR 2026COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
109. ICLR 2026Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
110. ICLR 2026Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
111. ICLR 2026ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types
112. ICLR 2026Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization
113. ICLR 2026Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models
114. ICLR 2026Constitutional Classifiers++: Production-Grade Defenses against Universal Jailbreaks
115. ICLR 2026ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation
116. ICLR 2026Control Tax: The Price of Keeping AI in Check
117. ICLR 2026Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: from $2$ Bits to $k$ Bits
118. ICLR 2026Convergent Differential Privacy Analysis for General Federated Learning
119. ICLR 2026Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate
120. ICLR 2026Counterfactual LLM-based Framework for Measuring Rhetorical Style
121. ICLR 2026Critical Confabulation: Can LLMs Hallucinate for Social Good?
122. ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
123. ICLR 2026Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
124. ICLR 2026D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
125. ICLR 2026Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
126. ICLR 2026Data Selection for LLM Alignment Using Fine-Grained Preferences
127. ICLR 2026DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
128. ICLR 2026Decomposing Extrapolative Problem Solving: Spatial Transfer and Length Scaling with Map Worlds
129. ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
130. ICLR 2026Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
131. ICLR 2026Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
132. ICLR 2026Defending against Backdoor Attacks via Module Switching
133. ICLR 2026DeRaDiff: Denoising Time Realignment of Diffusion Models
134. ICLR 2026Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation
135. ICLR 2026Differentially Private Domain Discovery
136. ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
137. ICLR 2026Diffusion Alignment as Variataional Expectation-Maximization
138. ICLR 2026Diffusion Negative Preference Optimization Made Simple
139. ICLR 2026Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
140. ICLR 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
141. ICLR 2026Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
142. ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
143. ICLR 2026Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling
144. ICLR 2026Disentangling the Factors of Convergence between Brains and Computer Vision Models
145. ICLR 2026Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences
146. ICLR 2026DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment
147. ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
148. ICLR 2026Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
149. ICLR 2026DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
150. ICLR 2026Do Large Language Models Know What They Are Capable Of?

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.