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

1,421 papers, page 3 of 29

101. NeurIPS 2026Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
102. NeurIPS 2026DACE: Diversity-Driven Adversarial Co-Evolution for Robust LLM Safety Alignment
103. NeurIPS 2026DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
104. NeurIPS 2026DASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy Alignment
105. NeurIPS 2026DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
106. NeurIPS 2026DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
107. NeurIPS 2026Debiased DPO for Diffusion Models
108. NeurIPS 2026Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics
109. NeurIPS 2026Decomposing and Reshaping Scaling Laws through Token Learning Times
110. NeurIPS 2026Decomposing One Professional-Framing Pipeline: Which Components Shift LLM Safety Boundaries?
111. NeurIPS 2026Decomposing SGD Dynamics in Neural Networks: Teacher-Induced Spikes and Variance Inflation
112. NeurIPS 2026Decoupled Prototype Contrastive Alignment Hashing for Cross-Modal Retrieval
113. NeurIPS 2026Decoupling Label Shift and Surrogate Gradient Errors for Robust Federated Spiking Neural Networks
114. NeurIPS 2026Deep Minds and Shallow Probes
115. NeurIPS 2026Denoising Implicit Variational Inference
116. NeurIPS 2026Dense Cross-Tokenizer Distillation via Semantic Optimal Local Alignment
117. NeurIPS 2026Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
118. NeurIPS 2026Differentiable Knapsack and Top-k Operators via Dynamic Programming
119. NeurIPS 2026Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization
120. NeurIPS 2026Disentangling the Good From the Bad: Quantization-Induced Flips Are Not Random
121. NeurIPS 2026Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities
122. NeurIPS 2026Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
123. NeurIPS 2026Distributionally Robust Listwise Preference Optimization
124. NeurIPS 2026Distributionally Robust Token Optimization in RLHF
125. NeurIPS 2026Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
126. NeurIPS 2026Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods
127. NeurIPS 2026DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
128. NeurIPS 2026Does Weight Decay Enhance Training Stability?
129. NeurIPS 2026DrPO: Drifting Preference Optimization for One-Step Generative Models
130. NeurIPS 2026E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
131. NeurIPS 2026Edge of Stability Selectively Shapes Learning Across the Data Distribution
132. NeurIPS 2026Effective Context in Transformers: An Analysis of Fragmentation and Tokenization
133. NeurIPS 2026Emergence, Retention and Mitigation of Ill-conditioning due to Basis Lifting in KANs
134. NeurIPS 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
135. NeurIPS 2026Enhancing Speech Large Language Models through Reinforced Behavior Alignment
136. NeurIPS 2026EpiPivot: Learning to Control the Simplex Method under Epistemic Uncertainty
137. NeurIPS 2026EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment
138. NeurIPS 2026EvalAwareBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
139. NeurIPS 2026Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage
140. NeurIPS 2026Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
141. NeurIPS 2026Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs
142. NeurIPS 2026Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion
143. NeurIPS 2026Explaining and Preventing Alignment Collapse in Iterative RLHF
144. NeurIPS 2026Explanation Multiplicity in SHAP: Characterization and Assessment
145. NeurIPS 2026Fail-Closed Alignment for Large Language Models
146. NeurIPS 2026Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
147. NeurIPS 2026Fair Range k-Supplier Clustering in Offline and Streaming Models
148. NeurIPS 2026FARE: Forensic Acceptance Region Estimation for Catching Bait-and-Switch Image Generators
149. NeurIPS 2026Fast Alignment of Embeddings: Computational Guarantees for Anisotropic Procrustes-Wasserstein
150. NeurIPS 2026Fast and Consistent Structure Learning in Graphical Models via Approximate Cross-Validation

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.