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 4 of 13

151. ICLR 2026Don't Forget Its Variance! The Minimum Path Variance Principle for Accurate and Stable Score-Based Models
152. ICLR 2026Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
153. ICLR 2026Doubly-Regressing Approach for Subgroup Fairness
154. ICLR 2026Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
155. ICLR 2026Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
156. ICLR 2026DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision
157. ICLR 2026DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
158. ICLR 2026DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
159. ICLR 2026Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
160. ICLR 2026DrugTrail: Explainable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization
161. ICLR 2026Dual Randomized Smoothing: Beyond Global Noise Variance
162. ICLR 2026Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View Clustering
163. ICLR 2026Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation
164. ICLR 2026Dual-Path Condition Alignment for Diffusion Transformers
165. ICLR 2026Dual-Space Smoothness for Robust and Balanced LLM Unlearning
166. ICLR 2026DUET: DISTILLED LLM UNLEARNING FROM AN EFFICIENTLY CONTEXTUALIZED TEACHER
167. ICLR 2026DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization
168. ICLR 2026DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
169. ICLR 2026DynaGuard: A Dynamic Guardian Model With User-Defined Policies
170. ICLR 2026Dynamic Reflections: Probing Video Representations with Text Alignment
171. ICLR 2026Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
172. ICLR 2026EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION
173. ICLR 2026Early Signs of Steganographic Capabilities in Frontier LLMs
174. ICLR 2026EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
175. ICLR 2026EditLens: Quantifying the Extent of AI Editing in Text
176. ICLR 2026EigenBench: A Comparative Behavioral Measure of Value Alignment
177. ICLR 2026ELEPHANT: Measuring and understanding social sycophancy in LLMs
178. ICLR 2026Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs
179. ICLR 2026Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
180. ICLR 2026Emergent Misalignment is Easy, Narrow Misalignment is Hard
181. ICLR 2026EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
182. ICLR 2026Enabling Fine-Tuning of Direct Feedback Alignment via Feedback-Weight Matching
183. ICLR 2026Enforcing Axioms for AI Alignment under Loss-Based Rules
184. ICLR 2026Enhancing Image-Conditional Coverage in Segmentation: Adaptive Thresholding via Differentiable Miscoverage Loss
185. ICLR 2026Enhancing Language Model Reasoning with Structured Multi-Level Modeling
186. ICLR 2026Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents
187. ICLR 2026Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection
188. ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
189. ICLR 2026Escaping Policy Contraction: Contraction-Aware PPO (CaPPO) for Stable Language Model Fine-Tuning
190. ICLR 2026Estimating Worst-Case Frontier Risks of Open-Weight LLMs
191. ICLR 2026Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment
192. ICLR 2026EventFlash: Towards Efficient MLLMs for Event-Based Vision
193. ICLR 2026Every Language Model Has a Forgery-Resistant Signature
194. ICLR 2026Evidence for Limited Metacognition in LLMs
195. ICLR 2026Evolution and compression in LLMs: on the emergence of human-aligned categorization
196. ICLR 2026Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
197. ICLR 2026Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement
198. ICLR 2026ExpGuard: LLM Content Moderation in Specialized Domains
199. ICLR 2026Explainable LLM Unlearning through Reasoning
200. ICLR 2026Exploring the Basin-Like Loss Landscape in Large Language Models

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.