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

875 papers, page 4 of 18

151. ICLR 2024Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
152. ICLR 2024Chain of Hindsight aligns Language Models with Feedback
153. ICLR 2024Classification with Conceptual Safeguards
154. ICLR 2024Compositional Preference Models for Aligning LMs
155. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
156. ICLR 2024Confidential-DPproof: Confidential Proof of Differentially Private Training
157. ICLR 2024Confronting Reward Model Overoptimization with Constrained RLHF
158. ICLR 2024Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
159. ICLR 2024Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
160. ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
161. ICLR 2024CPPO: Continual Learning for Reinforcement Learning with Human Feedback
162. ICLR 2024Curiosity-driven Red-teaming for Large Language Models
163. ICLR 2024Debiasing Attention Mechanism in Transformer without Demographics
164. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
165. ICLR 2024Defining and extracting generalizable interaction primitives from DNNs
166. ICLR 2024Demonstration-Regularized RL
167. ICLR 2024DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
168. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
169. ICLR 2024Detecting Pretraining Data from Large Language Models
170. ICLR 2024Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
171. ICLR 2024DP-SGD Without Clipping: The Lipschitz Neural Network Way
172. ICLR 2024Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
173. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
174. ICLR 2024Enabling Lanuguage Models to Implicitly Learn Self-Improvement
175. ICLR 2024Eureka: Human-Level Reward Design via Coding Large Language Models
176. ICLR 2024Expressivity of ReLU-Networks under Convex Relaxations
177. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
178. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
179. ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares
180. ICLR 2024FedImpro: Measuring and Improving Client Update in Federated Learning
181. ICLR 2024FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
182. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
183. ICLR 2024Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
184. ICLR 2024Fine-Tuning Language Models for Factuality
185. ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
186. ICLR 2024FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
187. ICLR 2024Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
188. ICLR 2024Generative Judge for Evaluating Alignment
189. ICLR 2024GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
190. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
191. ICLR 2024How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
192. ICLR 2024Identifying the Risks of LM Agents with an LM-Emulated Sandbox
193. ICLR 2024Implicit Neural Representations and the Algebra of Complex Wavelets
194. ICLR 2024Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
195. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
196. ICLR 2024Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
197. ICLR 2024Language Model Decoding as Direct Metrics Optimization
198. ICLR 2024Language Model Inversion
199. ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
200. ICLR 2024LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

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.