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
1,363 papers, page 9 of 28
- ICLR 2025MAP: Multi-Human-Value Alignment Palette
- ICLR 2025Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
- ICLR 2025Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
- ICLR 2025Measuring memorization in RLHF for code completion
- ICLR 2025Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
- ICLR 2025MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
- ICLR 2025MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
- ICLR 2025Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
- ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
- ICLR 2025Mitigating Memorization in Language Models
- ICLR 2025Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
- ICLR 2025Mitigating Spurious Correlations in Zero-Shot Multimodal Models
- ICLR 2025Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
- ICLR 2025Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
- ICLR 2025Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
- ICLR 2025MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
- ICLR 2025Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
- ICLR 2025Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
- ICLR 2025Monitoring Latent World States in Language Models with Propositional Probes
- ICLR 2025Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
- ICLR 2025Moral Alignment for LLM Agents
- ICLR 2025More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
- ICLR 2025Multi-objective antibody design with constrained preference optimization
- ICLR 2025Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
- ICLR 2025Near-Exact Privacy Amplification for Matrix Mechanisms
- ICLR 2025Neural Interactive Proofs
- ICLR 2025NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
- ICLR 2025No Preference Left Behind: Group Distributional Preference Optimization
- ICLR 2025OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes
- ICLR 2025On a Connection Between Imitation Learning and RLHF
- ICLR 2025On Calibration of LLM-based Guard Models for Reliable Content Moderation
- ICLR 2025On Evaluating the Durability of Safeguards for Open-Weight LLMs
- ICLR 2025On Large Language Model Continual Unlearning
- ICLR 2025On Linear Representations and Pretraining Data Frequency in Language Models
- ICLR 2025On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
- ICLR 2025On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
- ICLR 2025On the Hölder Stability of Multiset and Graph Neural Networks
- ICLR 2025On the Price of Differential Privacy for Hierarchical Clustering
- ICLR 2025On the Role of Attention Heads in Large Language Model Safety
- ICLR 2025On-the-fly Preference Alignment via Principle-Guided Decoding
- ICLR 2025One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
- ICLR 2025Online Preference Alignment for Language Models via Count-based Exploration
- ICLR 2025Online-to-Offline RL for Agent Alignment
- ICLR 2025Pacmann: Efficient Private Approximate Nearest Neighbor Search
- ICLR 2025PAD: Personalized Alignment of LLMs at Decoding-time
- ICLR 2025Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
- ICLR 2025PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
- ICLR 2025PaLD: Detection of Text Partially Written by Large Language Models
- ICLR 2025Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
- ICLR 2025Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
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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.