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

348 papers, page 4 of 7

151. NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
152. NeurIPS 2024Iterative Reasoning Preference Optimization
153. NeurIPS 2024JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
154. NeurIPS 2024Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
155. NeurIPS 2024Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
156. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
157. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
158. NeurIPS 2024Label Alignment Regularization for Distribution Shift
159. NeurIPS 2024LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
160. NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
161. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
162. NeurIPS 2024Large Language Model Unlearning
163. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
164. NeurIPS 2024Large language model validity via enhanced conformal prediction methods
165. NeurIPS 2024Latent Functional Maps: a spectral framework for representation alignment
166. NeurIPS 2024Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
167. NeurIPS 2024Learning Human-like Representations to Enable Learning Human Values
168. NeurIPS 2024Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
169. NeurIPS 2024Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
170. NeurIPS 2024Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
171. NeurIPS 2024Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
172. NeurIPS 2024LLM Dataset Inference: Did you train on my dataset?
173. NeurIPS 2024LLM Evaluators Recognize and Favor Their Own Generations
174. NeurIPS 2024Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
175. NeurIPS 2024Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
176. NeurIPS 2024LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect
177. NeurIPS 2024Maia-2: A Unified Model for Human-AI Alignment in Chess
178. NeurIPS 2024MALT Powers Up Adversarial Attacks
179. NeurIPS 2024MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
180. NeurIPS 2024Many-shot Jailbreaking
181. NeurIPS 2024Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
182. NeurIPS 2024Measuring Goal-Directedness
183. NeurIPS 2024Measuring Per-Unit Interpretability at Scale Without Humans
184. NeurIPS 2024MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
185. NeurIPS 2024Mercury: A Code Efficiency Benchmark for Code Large Language Models
186. NeurIPS 2024MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
187. NeurIPS 2024Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
188. NeurIPS 2024Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
189. NeurIPS 2024Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
190. NeurIPS 2024MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
191. NeurIPS 2024MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
192. NeurIPS 2024MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
193. NeurIPS 2024Multi-turn Reinforcement Learning with Preference Human Feedback
194. NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
195. NeurIPS 2024NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
196. NeurIPS 2024Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
197. NeurIPS 2024Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
198. NeurIPS 2024Noise Contrastive Alignment of Language Models with Explicit Rewards
199. NeurIPS 2024NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
200. NeurIPS 2024On scalable oversight with weak LLMs judging strong LLMs

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.