Alignment and Safety papers, 2023–2026
RLHF, preference optimization, red-teaming, and safety alignment
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 4,558 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
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
473 papers, page 8 of 10
- ICLR 2025Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
- ICLR 2025Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
- ICLR 2025Remove Symmetries to Control Model Expressivity and Improve Optimization
- ICLR 2025Representational Similarity via Interpretable Visual Concepts
- ICLR 2025Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
- ICLR 2025Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
- ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
- ICLR 2025Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
- ICLR 2025Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
- ICLR 2025Rethinking Reward Modeling in Preference-based Large Language Model Alignment
- ICLR 2025Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
- ICLR 2025Revisiting Mode Connectivity in Neural Networks with Bezier Surface
- ICLR 2025Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating
- ICLR 2025RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
- ICLR 2025RMB: Comprehensively benchmarking reward models in LLM alignment
- ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
- ICLR 2025Robustness Inspired Graph Backdoor Defense
- ICLR 2025Round and Round We Go! What makes Rotary Positional Encodings useful?
- ICLR 2025RouteLLM: Learning to Route LLMs from Preference Data
- ICLR 2025RRM: Robust Reward Model Training Mitigates Reward Hacking
- ICLR 2025SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
- ICLR 2025Safety Alignment Should be Made More Than Just a Few Tokens Deep
- ICLR 2025Safety Layers in Aligned Large Language Models: The Key to LLM Security
- ICLR 2025SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
- ICLR 2025Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
- ICLR 2025SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
- ICLR 2025Scalable Extraction of Training Data from Aligned, Production Language Models
- ICLR 2025Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML
- ICLR 2025SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
- ICLR 2025SEBRA : Debiasing through Self-Guided Bias Ranking
- ICLR 2025SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
- ICLR 2025Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
- ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
- ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
- ICLR 2025SELF-EVOLVED REWARD LEARNING FOR LLMS
- ICLR 2025Self-Improvement in Language Models: The Sharpening Mechanism
- ICLR 2025Self-Improving Robust Preference Optimization
- ICLR 2025Self-Play Preference Optimization for Language Model Alignment
- ICLR 2025Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
- ICLR 2025Sensitivity Verification for Additive Decision Tree Ensembles
- ICLR 2025SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
- ICLR 2025Severing Spurious Correlations with Data Pruning
- ICLR 2025Shape as Line Segments: Accurate and Flexible Implicit Surface Representation
- ICLR 2025Shh, don't say that! Domain Certification in LLMs
- ICLR 2025SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
- ICLR 2025Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
- ICLR 2025SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
- ICLR 2025SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
- ICLR 2025Sparse components distinguish visual pathways & their alignment to neural networks
- ICLR 2025Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
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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.